Cs229 Github 2019

Jhilakshi commented Oct 23, 2019 why are we just using 1 feature in "features = np. GitHub; Medium; Intro. 本文是斯坦福大学 CS 229 机器学习课程的基础材料,原始文件下载 [1] 原文作者:Zico Kolter,修改:Chuong Do, Tengyu Ma 翻译:黄海广 [2] 备注:请关注github [3]的更新,线性代数和概率论…. 原 吴恩达-斯坦福CS229机器学习课程-2017(秋)最新课程分享 2017年10月04日 12:47:13 扫描头像关注公众号获取更多干货 阅读数:6683 <span. Research Taste Exercises - Five exercises for building research taste (and three failure modes). 3万播放 · 395弹幕 2020-03-21 23:08:46 810 429 5095 299. Our project team consists of three people. Archives | Hope. Yu-Wing Tai. CS229 boosting notes Author: James Chuang Created Date: 6/26/2019 12:49:07 PM. The first project is an image FX app for which I wanted a cross-platform GUI. CS229 Lecture notes Andrew Ng The k-means clustering algorithm In the clustering problem, we are given a training set {x (1),,x (m)}, and want to group the data into a few cohesive "clusters. cs229 lecture notes 2018 Ogr2ogr Geojson To Shapefile , 63 Up Youtube , Dell Tower Not Turning On , Quasar Ton 618 , Write Before Christmas , Summer Jobs In Hawaii For College Students With Housing , Marlin 795 Archangel Stock , Louisiana Tech Softball Roster , Silicone Kitchen Utensil Set With Holder , High Performance Polymeric Sand ,. Machine Learning CS229 / STATS229. " Proceedings of the Thirteenth International Conference on Artificial. I am a Master's student at the Stanford Vision and Learning Lab, where I have been fortunate working with Prof. 2014-2019 Applied Physics PhD Student at Stanford University Photonic-based machine learning hardware. run_bagnet33. By the end of the class, you will know exactly what all these numbers mean. CS229 Lecture Notes. 个人博客,主要记录有关机器学习,数学以及计算机科学的笔记. Cs229 problem set 2019. I plan on starting a Machine Learning PhD in 2023. Note 3 : Feature Engineering. NumPy is "the fundamental package for scientific computing with Python. ML offers some of the more effective techniques for knowledge discovery in large data sets. We see that \(x_{n + 1}\) is a better approximation than \(x_n\) for the root x of the function \(f\). [ Report ] Investment Portfolio Analysis -- Statistical Models in Finance. Cs229 github solutions. May 2019 - Aug 2019 4 months Atlanta, GA • Designed an end-to-end pipeline for forecasting stock prices using Capsule Networks and decision tree ensembles. csv · GitHub (5 days ago) Nov 08, 2016 · a government benefit program that provides a discount on monthly telephone service for eligible low-income subscribers to help ensure they can connect to the nation's communications networks, find jobs, access health care services, connect with family and their children's schools, and. CS229 Lecture notes Andrew Ng The k-means clustering algorithm In the clustering problem, we are given a training set {x (1),,x (m)}, and want to group the data into a few cohesive “clusters. The Auckland University of Technology offers a great set of AI related programmes and postgraduate research projects. The x ’s in the figure (joined by straight lines) mark the successive values of θ that gradient descent went through. I start sharing my notebooks on learning Python and TensorFlow, here is my GitHub repository: Data_Science_Python. CS229: Machine Learning. My 2Do tasks. In each class we will discuss one recent research paper related to active areas of current research, in particular employing Deep Learning. Happy learning! Edit: The problem sets seemed to be locked, but they are easily findable via GitHub. Learning from data in order to gain useful predictions and insights. in | praeclarumjj3. I hope to bring all these lists closer to 0 when I get time. Fan, "Deterministic photonic quantum computation in a synthetic time dimension", arXiv:2101. CS230, CS221 and CS229 share the same prerequisites : * Knowledge of basic computer science principles and skills, at a level sufficient to write a reasonably non-trivial computer program. I am a computer vision engineer at Anduril Industries, where I work on defense technologies. pdf: Support Vector Machines: cs229-notes4. Note 3 : Feature Engineering. All lists are sorted by priority. Fei-Fei Li on. He's also been a Teaching Assistant for Machine Learning (CS229) and Deep Learning (CS230) at Stanford since Fall 2019. io CMPUT 651 (Fall 2019). 10月手帳 CS229 Generative Learning / 10/24 / / 10/25: Study for Azure Data Scientist Associate / 10/26 / /. See the complete profile on LinkedIn and discover Ben’s connections and jobs at similar companies. • Suppose we have a dataset giving the living areas, number of bedrooms and prices of 200 houses from a specific region: • Given data like this, how can we learn to predict the prices of other houses,. DS 5220 Alina Oprea Associate Professor, CCIS Northeastern University November 6 2019 Supervised Machine Learning and Learning Theory. CS 229, Public Course Problem Set #3 Solutions: Learning. Ben has 1 job listed on their profile. GitHub Gist: star and fork mrbarbasa's gists by creating an account on GitHub. Relevant for Fundamentals of Computer Science as well as Algorithms and Data Structures I. 2019-11-07 2019-11-07 11:01:18 阅读 364 0 本文是斯坦福大学 CS229 机器学习课程的基础材料, 原始文件下载[1] 原文作者:Arian Maleki , Tom Do 翻译: 石振宇[2] 审核和修改制作: 黄海广[3] 备注:请关注 github[4] 的更新。. AI can no longer be viewed as a neutral technology, for its impact on society is increasing [1, 2]. ) for the courses. DS 5220 Alina Oprea Associate Professor, CCIS Northeastern University November 6 2019 Supervised Machine Learning and Learning Theory. 吴恩达在斯坦福开设的机器学习课 cs229,是很多人最初入门机器学习的课,历史悠久,而且仍然是最经典的机器学习课程之一。. More than 56 million people use GitHub to discover, fork, and contribute to over 100 million projects. edu/To get the latest news on Stanford’s upcoming professional programs in Artific. While the game is mainly player vs. pdf: The k-means clustering algorithm: cs229-notes7b. 2019年02月03日 阅读 107. Contribute to sueqian6/Stanford-CS229-2019-summer development by creating an account on GitHub. Join GitHub today. "Read enough so you start developing intuitions and then trust your intuitions and go for it!" Prof. Contents Organization Github: 스탠포드대학교 CS230 cheatsheets-Recurrent neural networks 스탠포드대학교 CS229. Everest 2020. 2019 exam 2018 exam 2017 exam 2016 exam 2015 exam 2014 exam 2013 exam For SCPD students, your exams will be distributed through the SCPD office once you have set up an exam monitor. Here, x (i) ∈ Rn as usual; but no labels y (i) are given. 2019-01-22. Chi-Keung Tang and Prof. Jun 06 '21 (Anywhere on Earth) Camera Ready. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. · Coursera: Machine Learning ( Week 9) Quiz - Anomaly Detection | Andrew NG Akshay Daga (APDaga) December 09, 2019 Artificial Intelligence , Machine Learning , Q&A. 1 监督学习定义百度百科定义如下: 监督学习是指:利用一组已知类别的样本调整分类器的参数,使其达到所要求性能的过程,也称为监督训练或有教师学习。. Generative Learning Algorithm 18 Feb 2019 [CS229] Lecture 4 Notes. 本篇博客为 CS229 学习笔记第十三部分,主题是:决策树与集成方法。. Registration Opens. GitHub; Medium; Intro. Introduce Support Vector Machines (SVM) Created on 02/27/2019 Updated on 03/04/2019 Updated on 03/05/2019. You can use a footnote or full reference/bibliography entry. Peggy's Personal Profile. 01/06/2019 · Deep learning is a kind of. Week 1 Overview. 【斯坦福大学】cs229 机器学习 · 2018年(完结·中英字幕·机翻) 5. Piazza is a free online gathering place where students can ask, answer, and explore 24/7, under the guidance of their instructors. CS229 Note: Probability Theory - Random Variables August 2019 | 八月日志. Please remember about the final exam for Neural Nets, that will happen on Tuesday, 20. View on GitHub CS231n Assignment Solutions. With extensive educational program in computer science, machine learning and python programming language, in 2019, Artem were able to work independently as a software engineer. · Coursera: Machine Learning ( Week 9) Quiz - Anomaly Detection | Andrew NG Akshay Daga (APDaga) December 09, 2019 Artificial Intelligence , Machine Learning , Q&A. 本篇博客为 CS229 学习笔记第十五部分,主题是:强化学习。. ones(len(data_map['petal length']))))" when we have 4 features ? Hi, I have the same doubt as deependra. Follow their code on GitHub. GitHub is where people build software. github, bitbucket, pastebin) so that it can be accessed by other students. We spent three amazing weeks with eight talented high-school girls working together on a project, which applied Computer Vision techniques on Global Poverty Discovery. The computations required for Deep Learning research have been doubling every few months, resulting in an estimated 300,000x increase from 2012 to 2018. Cs229 2018 [email protected] blog: founding editor (2018{2020), chief editor (2020) Program Committee and/or Reviewer Journals: { JMLR (2018) { Neural Networks (2018 Assumptions of Discriminative Classifiers. CS229-ML-Implements(CS229机器学习算法的Python实现) Implements of cs229(Machine Learning taught by Andrew Ng) in python. I am a Master's student at the Stanford Vision and Learning Lab, where I have been fortunate working with Prof. Stanford's legendary CS229 course from 2008 just put all of their 2018 lecture videos on YouTube. During this course guest lecturers will be invited to give lectures on practical aspects of machine learning Required Materials. Generative models are widely used in many subfields of AI and Machine Learning. A curated list of topics, resources and questions. Computer Vision and Pattern Recognition, June 2018. Cs50 solutions 2019 github. 1 post published by Caihao (Chris) Cui on January 1, 2019. Stanford CS229: Machine Learning A classic by Andrew NG. Most of course materials are the same, except that: 6 Weeks → 8 Weeks. 2019-01-22. A short list of resources and topics covering the essential quantitative tools for Data Scientists, Machine Learning Engineers/Scientists, Quant Developers/Researchers and those who are preparing to interview for these roles. 从7月底开始,自己在学习新知识的路上模模糊糊的摸索,先是了解到多智能体系统(MAS, Multi-AgentSystem)是分布式人工智能的一部分,这些当然也都是人工. Generative Learning algorithms. Front office data engineering. Course Description. 吴恩达在斯坦福开设的机器学习课 cs229,是很多人最初入门机器学习的课,历史悠久,而且仍然是最经典的机器学习课程之一。. Published: February 20, 2019. Home » cs229 lecture notes github. PDF Abstract ICLR 2019 PDF ICLR 2019 Abstract. Sister channel of Numberphile. Stanford's legendary CS229 course from 2008 just put all of their 2018 lecture videos on YouTube. Actions Projects 0; Security Insights Dismiss Join GitHub today. 资源是从CSDN下载的,50积分的那个太贵了,所以重新整理下载了该资源,不想花积分的话,可以直接去百度Andrew Ng CS229,直接去官方网站下载,资源都是开放的。. 明天又是好吃的一天v: 原题已经没有了QAQ博主还有吗. The final project is intended to start you in these directions. I was an undergraduate exchange student at the ECE Department of University of Toronto. Stanford Engineering Everywhere CS229. Home Menu Toggle; Home 2 Menu Toggle; cs229 2018 problem sets. The function \(f\) is shown in blue and the tangent line is in red. 7309 for B vs A is the same. Charikar, Prof. Please remember about the final exam for Neural Nets, that will happen on Tuesday, 20. Machine Learning Techniques for Distracted Drivers Detection Demeng Feng, Yumeng Yue [email protected] View on GitHub CS231n Assignment Solutions. (Required: CS221 and 3 elective courses from the rest) 4 units. output values that are either 0 or 1 or exactly. 斯坦福 cs229 机器学习中文讲义 翻译完成 10614 2019-02-12 斯坦福 cs229 机器学习中文讲义 第一部分到第三部分 第四部分 生成学习算法 第五部分 支持向量机 第六部分 学习理论 第七部分 正则化与模型选择 感知器和大型边界分类器 k 均值聚类算法 混合高斯和期望最大化算法 第九部分 期望最大化算法 第. 2019 exam 2018 exam 2017 exam 2016 exam 2015 exam 2014 exam 2013 exam For SCPD students, your exams will be distributed through the SCPD office once you have set up an exam monitor. From 2019 to 2021, Hao was working as a researcher in YouTu Lab, founded by Yunsheng Wu and professor Jiaya Jia (IEEE Fellow). readline (). pdf: Regularization and model selection: cs229-notes6. Each does post assume you are familiar with the basics of linear algebra and calculus though. CS229 Fall 2019 Anton Ponomarev - aponom22 Final Project 1 Fooling image copy detection algorithms with GANs Anton Ponomarev [email protected] Machine learning (ML) is by no means new to me. The only difference is the \(g(z)\) used in the process. Simone Di Domenico, Mauro De Sanctis, Ernestina Cianca, and Giuseppe Bianchi. Posted on 2019-10-20 | Edited on 2019-10-23 | In Machine Learning, CS229. Note that the larger the group, the higher the expectations for the project. arXiv preprint arXiv:2101. cs229笔记2 发表于2021 2019-12-24 | 分类于 人工智能 | 没有评论 8种机械键盘轴体对比 本人程序员,要买一个写代码的键盘,请问红轴和茶轴怎么选?. 红色石头 发布于 2019-01-07. GitHub is where people build software. Stanford cs 234 slides. CS229 Lecture notes Andrew Ng The k-means clustering algorithm In the clustering problem, we are given a training set {x (1),,x (m)}, and want to group the data into a few cohesive “clusters. CS229 Final Project Information. CS229_ 机器学习_ 课的笔记(黄海广博士) 17830 2018-08-08 吴恩达老师机器学习课的笔记github地址 大学cs229课程资料. pdf: Support Vector Machines: cs229-notes4. Github and instructions to contribute can be found here. Jun 06 '21 (Anywhere on Earth) Camera Ready. B Bartlett, A Dutt, S Fan. Pleasant readings. com/ant-po/CS229project ABSTRACT In this paper, we explore the application of Generative Adversarial Networks in the attempt to. 10月手帳 CS229 Generative Learning / 10/24 / / 10/25: Study for Azure Data Scientist Associate / 10/26 / /. Edit: The problem sets seemed to be locked, but they are easily findable via GitHub. NumPy is "the fundamental package for scientific computing with Python. I was the principal instructor for the course over Summer 2019 (and Summer 2020) quarter, for a total of over 300 students. Our project team consists of three people. 76% accuracy mnist model. Rui (Rachel) Yan. Cs229 github solutions VictorOps incident managament software gives DevOps observability, collaboration, & real-time alerting, to build, deploy, & operate software. The \(g(z)\) used in perceptron learning algorithm is:. The core course content will be delivered via screencasts created offline and posted on Panopto. LQR:线性二次调节. 2019-02-18. CS 229 projects, Fall 2019 edition. CS229 Note: Generative Learning Posted on 2019-10-22 | Edited on 2020-09-11 | In Machine Learning , CS229 Symbols count in article: 1. Hi! I'm a Ph. Posted: (5 days ago) Data: Here is the UCI Machine learning repository, which contains a large collection of standard datasets for testing learning algorithms. Course grades: Problem Sets 20%, Programming Assignements and Quizzes: 25%, Attendance 5%, Midterm: 25%, Project 25%. column_stack((data_map['petal length'], np. Geoffrey Hinton, University of Toronto. Github actions for ML-ops: A blog post from GitHub showing how GitHub actions can be used for ML-ops and data science. General-purpose electronic digital computer. 2018-12-24: VI Algorithm: More contents are. See the complete profile on LinkedIn and discover Ben’s connections and jobs at similar companies. I did not assume the reader has any experience with machine learning so anyone should be able to follow it. io | praeclarumjj3. View Ben Neighbour’s profile on LinkedIn, the world’s largest professional community. 吴恩达CS229视频在哪里看呢?. courses from Fall 2019 CS229. International Joint Conference on Artificial Intelligence, July 2018. zeros (d) #记录上一轮迭代的. genfromtxt ("theta. Fei-Fei Li, Prof. This offering received the highest student course evaluation ratings across all CS229 offerings over the last 5 years. Other related documents. by | Feb 15, 2021 | Uncategorized | 0 comments | Feb 15, 2021 | Uncategorized | 0 comments. Almost the same procedure as the logistic regression. 斯坦福大学CS229机器学习2018年秋季:斯坦福大学CS229机器学习课程-源码,Stanford-CS229-机器学习-2018年秋季由AndrewNg教授的斯坦福大学CS229课程是全球最受欢迎的机器学习课程。. 斯坦福ML(Matlab)公开课最后一次编程练习,实现了异常检测算法并应用于服务器异常检测,然后利用协同过滤实现一个电影推荐系统。. A short list of resources and topics covering the essential quantitative tools for Data Scientists, Machine Learning Engineers/Scientists, Quant Developers/Researchers and those who are preparing to interview for these roles. CS229, CS231N (Graduate Level) - Machine Learning, Convolutional Neural Networks (Prof. 2019 王道考研 操作系统 【斯坦福大学】吴恩达 机器学习 CS229 Machine Learning by Andrew Ng Github近90k点赞的计算机专业课程. 224k members in the learnmachinelearning community. View Sri Kiranmayee Jonnalagadda’s profile on LinkedIn, the world’s largest professional community. Watch 2 Star 56 Fork 27 Code. 吴恩达在斯坦福开设的机器学习课 cs229,是很多人最初入门机器学习的课,历史悠久,而且仍然是最经典的机器学习课程之一。. Remove the green tea bag and mix all the water well with the salt until the salt is completely dissolved. Python-斯坦福机器学习CS229课程讲义的中文翻译. ESL and ISL from Hastie et al: Beginner (ISL) and Advanced (ESL) presentation to classic machine learning from world-class stats professors. Jul 12, 2019 iloc and loc Jul 12, 2019 Understanding the Micro-Macro Score Apr 25, 2019 Vim终端编辑器 Mar 5, 2019 CS229 Machine Learning Feb 13, 2019 我是如何来到这个世界的 Feb 12, 2019 Markdown的语法规则. shape #设置阈值 D = 1e-5 #设置初始值 theta = np. io | praeclarumjj3. "Regret bounds for Gaussian process bandit problems. I Research - Facebook June 2017 - Sept 2017 (CS229) Stanford University Winter 2014 - Spring 2017: Section Leader, Programming Abstactions (CS106A) Stanford University Winter 2014 - Spring 2017. Previously, I was a research intern at Tencent YouTu. MIT’s Intro to Deep Learning course. EC 4213 / ET5402 / ET5303: Machine Learning and Deep Learning. Added 23 Jun 2019 All content on the Bitshifters Github pages site is free to use and open source under Creative News Releases Docs About. Articles by Mohamed Managing the Organized Chaos That Is Software Development. Keep on posting. 课程官网被更新之后,网易公开课的链接也空了,byrbt也没用。. io CS181/181W Computers, Ethics, and Public. Fan, "Deterministic photonic quantum computation in a synthetic time dimension", arXiv:2101. Most of us just know the procedure of PCA. 个人觉得最重要的是你看完这两个东西之后能够独立的说出你看的那个话题的逻辑思路,然后最好是能够通过严格的数学推导来论证你这个逻辑思路。. rating distribution. This blog will help self learners on their journey to Machine Learning and Deep Learning. I must pay all my attention to my papers, therefore the repository won't. He has collected experience in a wide array of technologies with strong focuses on PyData stack, Django, and cloud computing. Interactive technology is changing society. CS221, CS224N, CS224U, CS228, CS229, CS230, CS231A, CS231N, AA228 3 units. Note that the larger the group, the higher the expectations for the project. Covering everything in great detail requires more than ~400 pages, but overall this is the most detailed guide on the mathematics used in machine learning. In each class we will discuss one recent research paper related to active areas of current research, in particular employing Deep Learning. Feb 15 15. CS229 Machine Learning Xmind: CS229 Machine Learning course and notes: OpenCourse. 吴恩达的 cs229,有人把它浓缩成 6 张中文速查表! 9. Sri Kiranmayee has 4 jobs listed on their profile. by | Feb 15, 2021 | Uncategorized | 0 comments | Feb 15, 2021 | Uncategorized | 0 comments. Some of today’s interfaces are used by a billion people at a time. The final project is intended to start you in these directions. Spring 2021 Assignments. player focused, a need for competent game playing AI has arisen as well. Hello everyone, today we want to talk about our machine learning project and ourselves. Code Issues Pull requests. Professor Emma Brunskill, Stanford Universityhttps://stanford. Bryan Anenberg's personal website. Dubbo探险 May 26, 2021. Assistant Professor Chelsea Finn, Stanford Universityhttp://cs330. I am a computer vision engineer at Anduril Industries, where I work on defense technologies. My 2Do tasks. Bartlett, "Hardware-level simulations of nanophotonic neural networks", Stanford CS230. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. CS221, CS224N, CS224U, CS228, CS229, CS230, CS231A, CS231N, AA228. CS230, CS221 and CS229 share the same prerequisites : * Knowledge of basic computer science principles and skills, at a level sufficient to write a reasonably non-trivial computer program. Benjamin Newman, Reuben Cohn-Gordon, and Christopher Potts. Quora wants to tackle this problem head-on to keep their platform a place where users can feel safe sharing their knowledge with the world. I recently interviewed with Microsoft (Data Scientist ll), Amazon (Applied AI Scientist) and Apple (Software Development : Machine Learning). Remember, it is an honor code violation to use the same final report PDF for multiple classes. Spring 2021 Assignments. by | Feb 15, 2021 | Uncategorized | 0 comments | Feb 15, 2021 | Uncategorized | 0 comments. Natural language understanding. 2019-10-24 阅读(3513) 评论(14) 2019最新的微博语料,可用于预训练语言模型Weibo-BERT词向量等。由于比较时新,对网络流行语的建模可能很有帮助。每个压缩包都有两千多万条,一共5个。大家下载之后也算是有一个亿身家的人了,激动吧。. Andrew Ng who is one of the co-founder of Coursera, an ex-employee of Google, professor at University of Stanford and an important contributor for machine learning has just been hired by Baidu [1,2,3]. Our project team consists of three people. Hi! I'm a Ph. " - Andrew Ng, Stanford Adjunct Professor Computers are becoming smarter, as artificial intelligence and machine learning, a subset of AI, make tremendous strides in simulating human thinking. Stanford Engineering Everywhere CS229. Share your videos with friends, family, and the world. Watch 2 Star 56 Fork 27 Code. This offering received the highest student course evaluation ratings across all CS229 offerings over the last 5 years. Deep Learning, NLP, and Representations (colah. 2019年2月--2019年4月:笔记整理初级阶段,视频100%复现; 2019年4月--2019年6月:网站搭建,对笔记内容及排版迭代优化; 2019年5月--2019年6月:组队学习《李宏毅机器学习》并对内容进行迭代完善; 2019年7月:最后内容修正,正式推广。 开源地址. Publications: B. [Previous offerings: Autumn 2018, Spring 2019] * Below is a collection of topics, of which we plan to cover a large subset this quarter. My 2Do tasks. The \(g(z)\) used in perceptron learning algorithm is:. I will host office hours according to the following schedule over the next few days, please come to show your homeworks (my group), discuss projects and ask anything course related on:. Junwon Park. EC 4213 / ET5402 / ET5303: Machine Learning and Deep Learning. Cs229 2018 [email protected] blog: founding editor (2018{2020), chief editor (2020) Program Committee and/or Reviewer Journals: { JMLR (2018) { Neural Networks (2018. Published: February 20, 2019. I graduated from Stanford University with an MS in Computer Science and an MS in Management Science & Engineering. Here are the lists I share so far. This is the syllabus for the Spring 2019 iteration of the course. csv · GitHub (5 days ago) Nov 08, 2016 · a government benefit program that provides a discount on monthly telephone service for eligible low-income subscribers to help ensure they can connect to the nation's communications networks, find jobs, access health care services, connect with family and their children's schools, and. pdf: Support Vector Machines: cs229-notes4. Students as well as instructors can answer questions, fueling a healthy, collaborative discussion. Posted: (5 days ago) Data: Here is the UCI Machine learning repository, which contains a large collection of standard datasets for testing learning algorithms. Watch 2 Star 56 Fork 27 Code. CS221, CS224N, CS224U, CS228, CS229, CS230, CS231A, CS231N, AA228 3 units. Wanze Xie is a graduate student in Computer Science at Stanford, specialized in AI and machine learning. 首先将介绍决策树的非线性与基于区域的特征. A Teaching Assistant CS229: Machine Learning (Spr 2020) and CS230: Deep Learning (Win 2021, Spr 2021) and in particular responsible for the class projects. Fall 2019: CS 6220 -- Data Mining Techniques, CRN 12564 cross-listed with. Updated on Jul 30, 2018. 吴恩达的 cs229,有人把它浓缩成 6 张中文速查表! 点击上方“ ai有道 ”,选择“星标”公众号 重磅干货,第一时间送达. ICA 的一个典型案例是“鸡尾酒. Home » cs229 lecture notes github. In this course, students gain a thorough introduction to cutting-edge neural networks for NLP. pdf: The perceptron and large margin classifiers: cs229-notes7a. Note 2 : Linear Regression. At a high-level we can divide things into 3 main areas: Machine Learning. The following excellent resources should help you review the material. None Pages: 13 year: 2017/2018. 2万 播放 · 287. 我是先看notes,预习一下。. In recent years, deep learning approaches have obtained very high performance on many NLP tasks. 41/Gloves) Hi, I am an SCPD student myself working in the tech industry. Dec 18, 2019 Upside-Down Reinforcement-Learning; Dec 17, 2019 Rigging the Lottery: Making All Tickets Winners; Dec 5, 2019 Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI; Dec 5, 2019 SPECTRAL GRAPH TRANSFORMER NETWORKS FOR BRAIN SURFACE PARCELLATION; Nov 28, 2019. Blog & Github: Data Engineering Workshop 2018 from Netflix & A Typical Data Engineering Project — Sharing From Netflix Data Engineering Team # Journal. Default Final Project [lecture slides]: In this project, students explore deep learning solutions to the SQuAD. Fei-fei Li) - Taken Freshman Year Complit 249C: Contemporary Iranian. Ben has 1 job listed on their profile. Introduction to Python Jupyter Notebook. 红色石头 发布于 2019-01-07. Jitesh Jain DEEPLEARNiNGENTHUSiAST|SECONDYEARUNDERGRADUATE|COMPUTERSCiENCE (+91)97855-29088 | [email protected] csdn已为您找到关于cs229相关内容,包含cs229相关文档代码介绍、相关教程视频课程,以及相关cs229问答内容。为您解决当下相关问题,如果想了解更详细cs229内容,请点击详情链接进行了解,或者注册账号与客服人员联系给您提供相关内容的帮助,以下是为您准备的相关内容。. Course grades: Problem Sets 20%, Programming Assignements and Quizzes: 25%, Attendance 5%, Midterm: 25%, Project 25%. edu Abstract There are around 30,000 human-distinguishable basic object classes and many more ne grained ones. CS229 Final Project Information. Later when I became a PhD, I use machine learning in plenty of projects, from the visualization of data after dimensional reduction through PCA, to building prediction models with logistic regression. Publications: B. Topics: Overview of course, OptimizationPercy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford Universityhttp://onlinehub. The problems sets are the ones given for the class of Fall 2017. AUT also has a Centre for Artificial Intelligence Research (CAIR) with the mission to create, develop and commercialise innovative IT products. The final project is intended to start you in these directions. pdf: Generative Learning algorithms: cs229-notes3. PDF Abstract ICLR 2019 PDF ICLR 2019 Abstract. Lecture notes. [2019-11-7] Update: Add Generative Adversarial Nets on MNIST in 01-UnsupervisedLerning [2019-11-5] Update: Add 99. LQR:线性二次调节. lambdaxymox / cs229-machine-learning-stanford-fall-2016. 2019年第 21 篇文章,总第 45 篇文章. Machine Learning Resources. Stanford Engineering Everywhere CS229. 06808 (2017). This particular network is classifying CIFAR-10 images into one of 10 classes and was trained with ConvNetJS. 资源是从CSDN下载的,50积分的那个太贵了,所以重新整理下载了该资源,不想花积分的话,可以直接去百度Andrew Ng CS229,直接去官方网站下载,资源都是开放的。(窃取别人的东西赚钱是很可耻的。. 分圆多项式 Jun 11, 2021. 08% Seepythonnotebookps1-1bc. From 2019 to 2021, Hao was working as a researcher in YouTu Lab, founded by Yunsheng Wu and professor Jiaya Jia (IEEE Fellow). CS229-bagnet (Final Project) Final project for CS229. Fan, "Photonic quantum programmable gate arrays", Conference on Lasers and Electro-Optics, OSA Technical Digest, JM4G. CS229-正则化与模型选择 机器学习 Posted by Pkun on December 16, 2019. edu/stanford-ai-courses. Assistant Professor Chelsea Finn, Stanford Universityhttp://cs330. Our scheduled class meetings will be optional events devoted to free-form discussion and group work on assignments and projects with support from the teaching. Registration Opens. Stanford's legendary CS229 course from 2008 just put all of their 2018 lecture videos on YouTube. Leonidas Guibas National University of Singapore Singapore. [2019-11-7] Update: Add Generative Adversarial Nets on MNIST in 01-UnsupervisedLerning [2019-11-5] Update: Add 99. (Required: CS221 and 3 elective courses from the rest) 4 units. I have just finished the course online and this repo contains my solutions to the assignments! What a great place for diving into Deep Learning. Archives | Hope. Differences between 2018 R1 and 2019 R1. Its exact architecture is [conv-relu-conv-relu-pool]x3-fc-softmax, for a total of 17 layers and 7000 parameters. 0 许可协议。 转载请注明来自 Doraemonzzz!. 吴恩达-斯坦福CS229机器学习课程-2017(秋)最新课程分享. He has collected experience in a wide array of technologies with strong focuses on PyData stack, Django, and cloud computing. Keep Updating: 2019-02-18 Merge to Lecture #5 Note 2019-01-23 Add Part 2, Gausian discriminant analysis 2019-01-22 Add Part 1, A Review of Generative Learning Algorithms. CS229 PROJECT REPORT Predicting Instagram tags with and without data Shreyash Pandey - [email protected] DS 5220 Alina Oprea Associate Professor, CCIS Northeastern University November 13 2019 Supervised Machine Learning and Learning Theory. CS229: Machine Learning Solutions. edu Introduction Distracted driving is a main factor that cause severe car. View Sri Kiranmayee Jonnalagadda’s profile on LinkedIn, the world’s largest professional community. Cs229 github solutions VictorOps incident managament software gives DevOps observability, collaboration, & real-time alerting, to build, deploy, & operate software. 2019 exam 2018 exam 2017 exam Uploading your writeup or code to a public repository (e. approximations to the true minimum. "Analysis of Thompson sampling for Gaussian process optimization in the bandit setting. 现在让我们尝试确定几个简单函数的梯度和黑塞矩阵。 应该注意的是,这里给出的所有梯度都是cs229讲义中给出的梯度的特殊情况。 对于, 设 的某些已知向量 ,则: 所以: 由此我们可以很容易地看出 。 这应该与单变量微积分中的类似情况进行比较,其中 。. 资源是从CSDN下载的,50积分的那个太贵了,所以重新整理下载了该资源,不想花积分的话,可以直接去百度Andrew Ng CS229,直接去官方网站下载,资源都是开放的。(窃取别人的东西赚钱是很可耻的。. 学习stanford cs229 manchine learning课程已经有三个月左右,虽然说网友们说这门课相比于Coursera(吴恩达老师的网课机构)中的机器学习有更多的数学要求和公式的推导,本着想总体了解机器学习的念头,开始了机器学习的自学过程。. Bartlett, "A 'generative' model for computing electromagnetic field solutions", Stanford CS229 presentations, Stanford, CA, December 2018 9. AI could account for as much as one-tenth of the world's electricity use by 2025 according to this article [1]. Hsu-kuang Chiu, Jie Li, Rares Ambrus, and Jeannette Bohg. View Ben Neighbour’s profile on LinkedIn, the world’s largest professional community. All required reading will either be linked to here or posted to canvas. Machine learning (ML) is by no means new to me. 课程官网被更新之后,网易公开课的链接也空了,byrbt也没用。. Stanford Machine Learning CS229 lecture notes (autumn 2019). Though all these interviews differed a bit, but the basic questions asked were the same. Event Type Date Description Course Materials; Lecture 1: Tuesday April 2: Course Introduction Computer vision overview Historical context. Stanford Engineering Everywhere CS229. I'm interested in ML research — particulary in Robust and Interpretable Machine Learning to design methods for more trustworthy, human-compatible AI. Some of today’s interfaces are used by a billion people at a time. You can find detailed information about people…. 06 at 3pm in 119. Jitesh Jain DEEPLEARNiNGENTHUSiAST|SECONDYEARUNDERGRADUATE|COMPUTERSCiENCE (+91)97855-29088 | [email protected] We see that \(x_{n + 1}\) is a better approximation than \(x_n\) for the root x of the function \(f\). MLOps Tooling Landscape v2 (+84 new tools) - Dec '20: A decent rundown of the ML-Ops field. Hold weekly office hours. 声明:此系列博文根据斯坦福CS229课程,吴恩达主讲所写,为本人自学笔记,写成博客分享出来 博文中部分图片和公式都来源于CS229官方notes。 CS229的视频和讲义均为互联网公开资源。 Lecture1 这一节. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Social coding tools such as GitHub [1] have transformed the way software gets developed collaboratively and openly on the World Wide Web. Hi! I'm a Ph. 本视频的 UP 主又回来了维护字幕了(主要是自己学英语),不过这应该是一个很漫长的过程。。。 个人对这个课程的学习建议是:不看字幕或看少量英文字母,结合官方的 slides 和 notes进行学习。. , many components of the resulting θ are stanford cs229 lecture notes. Code Issues Pull requests. Natural language understanding. The \(g(z)\) used in perceptron learning algorithm is:. Added 23 Jun 2019 All content on the Bitshifters Github pages site is free to use and open source under Creative News Releases Docs About. 2019-02-18. CS157, CS223A, CS234,…. In [9]: Dataset and visualization The goal for this notebook is to show you some data, define terms of supervised learning, and give you confidence to go out and grab data from the. In [9]: Dataset and visualization The goal for this notebook is to show you some data, define terms of supervised learning, and give you confidence to go out and grab data from the. email protected]. 本篇博客为 CS229 学习笔记第十二部分,主题是:独立成分分析。. © 2020 GitHub, Inc. Stanford CS229 problem set 1. Publications: B. CS287 Advanced Robotics at UC Berkeley Fall 2019. Assignment #3: Image Captioning with RNNs and Transformers, Network Visualization, Generative Adversarial Networks, Self-Supervised. Scribd es red social de lectura y publicación más importante del mundo. extensive introduction to the current graduate course in ML (CS229) and will complement that course. CS229 Machine Learning 自学与答案 645 2019-02-15 Learning CS229 菜鸡自学CS229当中,主要是看notes和做assignments 欢迎拍砖github链接 2. 本视频的 UP 主又回来了维护字幕了(主要是自己学英语),不过这应该是一个很漫长的过程。。。 个人对这个课程的学习建议是:不看字幕或看少量英文字母,结合官方的 slides 和 notes进行学习。. When we run batch gradient descent to fit θ on our previous dataset, to learn to predict housing price as a function of living area, we obtain θ. 本文是斯坦福大学 CS 229 机器学习课程的基础材料,原始文件下载 [1] 原文作者:Zico Kolter,修改:Chuong Do, Tengyu Ma 翻译:黄海广 [2] 备注:请关注github [3]的更新,线性代数和概率论…. CS229 Lecture Notes. Stanford's legendary CS229 course from 2008 just put all of their 2018 lecture videos on YouTube. Sister channel of Numberphile. 76% accuracy mnist model. Getting into AI for non-technical people: https://www. Rosenberg (CDS, NYU) DS-GA 1003 / CSCI-GA 2567 April 24 & 30, 2019 1/40. Hsu-kuang Chiu, Jie Li, Rares Ambrus, and Jeannette Bohg. Apr 2019 - Present1 year 9 months. [Course 2019] This is an Advanced Computer Vision which will expose graduate students to the cutting-edge research. Students receive training from PhD students and bootcamp faculty to do interdiscplinary research on high impact problems. In college, I was also in a study group where we went through Bishop's PRML chapter by chapter. View Ben Neighbour's profile on LinkedIn, the world's largest professional community. 版权声明: 本博客所有文章除特别声明外,均采用 CC BY-NC-SA 4. Suppose we have a dataset giving the living areas a. CS229 project, Autumn 2019 Deep-learning models can be difficult to understand and control intuitively due to the black-box nature of these models. IEEE VR 2021-B (l)ending Realities Notes. This blog will help self learners on their journey to Machine Learning and Deep Learning. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Social coding tools such as GitHub [1] have transformed the way software gets developed collaboratively and openly on the World Wide Web. Topics: MDP1, Search review, Project Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University / Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) Assistant Professor Dors. CS229 Machine Learning 自学与答案 645 2019-02-15 Learning CS229 菜鸡自学CS229当中,主要是看notes和做assignments 欢迎拍砖github链接 2. com/ant-po/CS229project ABSTRACT In this paper, we explore the application of Generative Adversarial Networks in the attempt to. 2 more topics are expected to be covered: Generative Adversarial Learning and Reinforcement Learning. Actions Projects 0; Security Insights Dismiss Join GitHub today. CS221, CS224N, CS224U, CS228, CS229, CS230, CS231A, CS231N, AA228 3 units. B Bartlett, A Dutt, S Fan. 9k 阅读时长 ≈ 2 分钟. 2019年第 21 篇文章,总第 45 篇文章. student at Stanford University bxpan [at] stanford [dot] edu / leobxpan [at] gmail [dot] com Google Scholar / LinkedIn / GitHub / Twitter. CS229: Machine Learning. ai的第二部分(2018版,2019 Udacity深度强化学习GitHub Repo. This includes CS 231N assignment code, finetuning example code, open-source, or Github implementations. player focused, a need for competent game playing AI has arisen as well. 1 post published by Caihao (Chris) Cui on January 1, 2019. CS229 Lecture notes 1. GitHub is where people build software. student at Stanford University bxpan [at] stanford [dot] edu / leobxpan [at] gmail [dot] com Google Scholar / LinkedIn / GitHub / Twitter. CS229 PROJECT REPORT Predicting Instagram tags with and without data Shreyash Pandey - [email protected] GitHub Gist: instantly share code, notes, and snippets. 但对于某些情况,例如序列性的决策过程和控制问题,我们. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. This is the syllabus for the Spring 2019 iteration of the course. The problems sets are the ones given for the class of Fall 2017. [Course 2019] This is an Advanced Computer Vision which will expose graduate students to the cutting-edge research. Everest 2020. The final exam date is fixed by the university, and we are not at liberty to change it. svm naive-bayes-classifier generative-model stanford logistic-regression naive-bayes-classification exponential-family cs229 naive-bayes-tutorial naive-bayes-implementation gaussian-discriminant-analysis. 系统设计笔记 Jun 03, 2021. 2019-02-18. B Bartlett, A Dutt, S Fan. 1 监督学习定义百度百科定义如下: 监督学习是指:利用一组已知类别的样本调整分类器的参数,使其达到所要求性能的过程,也称为监督训练或有教师学习。. Cs229 problem set 2019. 版权声明: 本博客所有文章除特别声明外,均采用 CC BY-NC-SA 4. io | praeclarumjj3. 2019 王道考研 操作系统 【斯坦福大学】吴恩达 机器学习 CS229 Machine Learning by Andrew Ng Github近90k点赞的计算机专业课程. I did not assume the reader has any experience with machine learning so anyone should be able to follow it. 明天又是好吃的一天v: 原题已经没有了QAQ博主还有吗. Stanford cs229 manchine learning课程,相比于Coursera中的机器学习有更多的数学要求和公式的推导,课程全英文,基础材料部分还没有翻译。 这个基础材料主要分为线性代数和概率论,而且针对机器学习课程做了优化,非常适合学习。. io) Embed, encode, attend, predict: The new deep learning formula for state-of-the-art NLP models (explosion. Jhilakshi commented Oct 23, 2019 why are we just using 1 feature in "features = np. © 2020 GitHub, Inc. This repository compiles the problem sets and my solutions to Stanford's Machine Learning graduate class (CS229), taught by Prof. 斯坦福 cs229 机器学习中文讲义 翻译完成 10704 2019-02-12 斯坦福 cs229 机器学习中文讲义 第一部分到第三部分 第四部分 生成学习算法 第五部分 支持向量机 第六部分 学习理论 第七部分 正则化与模型选择 感知器和大型边界分类器 k 均值聚类算法 混合高斯和期望最大化算法 第九部分 期望最大化算法 第. 吴恩达的 cs229,有人把它浓缩成 6 张中文速查表! 9. He currently works as a research assistant at PAC group in Stanford Vision & Learning under Fei-Fei Li. 2019-11-07 2019-11-07 11:01:18 阅读 364 0 本文是斯坦福大学 CS229 机器学习课程的基础材料, 原始文件下载[1] 原文作者:Arian Maleki , Tom Do 翻译: 石振宇[2] 审核和修改制作: 黄海广[3] 备注:请关注 github[4] 的更新。. ai的第二部分(2018版,2019 Udacity深度强化学习GitHub Repo. View Ben Neighbour's profile on LinkedIn, the world's largest professional community. Similarto1a,K(x,z)issymmetricsinceitisthedifferenceoftwosymmetricmatrices. Stanford cs229 manchine learning课程,相比于Coursera中的机器学习有更多的数学要求和公式的推导,课程全英文,基础材料部分还没有翻译。 这个基础材料主要分为线性代数和概率论,而且针对机器学习课程做了优化,非常适合学习。. NeuralNetworks JuliaKempe&DavidS. Before that, I did my Masters in Electrical Engineering here at Stanford as well, where I was fortunate to have worked with Dr. CS229 Machine Learning Xmind: CS229 Machine Learning course and notes: OpenCourse. 发表于 2019-04-06 | 更新于 2019-04-08 | 分类于 Machine Learning 一、监督学习(supervised learning)1. I was the principal instructor for the course over Summer 2019 (and Summer 2020) quarter, for a total of over 300 students. Stanford cs229 manchine learning课程,相比于Coursera中的机器学习有更多的数学要求和公式的推导,课程全英文,基础材料部分还没有翻译。 这个基础材料主要分为线性代数和概率论,而且针对机器学习课程做了优化,非常适合学习。. 【斯坦福大学】cs229 机器学习 · 2018年(完结·中英字幕·机翻) 5. A Teaching Assistant CS229: Machine Learning (Spr 2020) and CS230: Deep Learning (Win 2021, Spr 2021) and in particular responsible for the class projects. io) Long Short Term Memory. Financial Sentiment Lexicon 논문 리뷰. Today, I made some good progress creating a cross-platform GUI using QML and tying this UI to C# code. The final exam will take place on Thursday, December 5, 2019 from 2:40-5:30pm. 斯坦福CS229机器学习笔记-Lecture1. I Research - Facebook June 2017 - Sept 2017 (CS229) Stanford University Winter 2014 - Spring 2017: Section Leader, Programming Abstactions (CS106A) Stanford University Winter 2014 - Spring 2017. In this course, students gain a thorough introduction to cutting-edge neural networks for NLP. 2019-2020年度国家奖学金(入选人民日报本专科生国家奖学金获奖学生代表名录)[学校报道] 2020. CS221, CS224N, CS224U, CS228, CS229, CS230, CS231A, CS231N, AA228 3 units. Solar milling machine to ease grinding systems Cleanleap. "Analysis of Thompson sampling for Gaussian process optimization in the bandit setting. Each does post assume you are familiar with the basics of linear algebra and calculus though. CS157, CS223A, CS234,…. Mv,Zt[Tg Ey `Mc~ tz Q. Bartlett, "Hardware-level simulations of nanophotonic neural networks", Stanford CS230. The main goal of Machine Learning (ML) is the development of systems that are able to autonomously change their behavior based on experience. More than 56 million people use GitHub to discover, fork, and contribute to over 100 million projects. Andrew Ng Deep Learning Ppt - XpCourse. Cs229 github solutions. " arXiv preprint arXiv:1705. Course grades: Problem Sets 20%, Programming Assignements and Quizzes: 25%, Attendance 5%, Midterm: 25%, Project 25%. IEEE VR 2021-B (l)ending Realities Notes. However, such lack of interpretability and human actionability in the models' decision processes make it difficult to trust these models in critical applications that affect the lives of people. From 2019 to 2021, Hao was working as a researcher in YouTu Lab, founded by Yunsheng Wu and professor Jiaya Jia (IEEE Fellow). Conference Sessions, Tutorials, Workshops and Expo. 机器学习(Machine Learning)与深度学习(Deep Learning)资料 之 视频教程. Github近90k点赞的计算机专业课程,在家也能上名校! 我当初上大学的时候知道就好了!默默留下了泪水!. approximations to the true minimum. Cs229 problem set 2019. io 18 Tree Recursive Neural Networks, Constituency Parsing, and Sentiment looperxx. Principal components analysis (Stanford CS229) Dropout: A simple way to improve neural networks (Hinton @ NIPS 2012) How to train your Deep Neural Network (rishy. One of CS229's main goals is to prepare you to apply machine learning algorithms to real-world tasks, or to leave you well-qualified to start machine learning or AI research. LQG:线性二次高斯分布. CS229 机器学习速查表 传送门. 作者 Dodo 在 NLP, 机器学习 标签 NLP, 机器学习, 规划. If you are using this project for multiple classes, submit the other class PDF as well. AI can no longer be viewed as a neutral technology, for its impact on society is increasing [1, 2]. 当时因为这门课太火爆,吴恩达不得不弄了个超大的网络课程来授课,结果一不. pdf: Learning Theory: cs229-notes5. If you want to see examples of recent work in machine learning, start by taking a look at the conferences NeurIPS (all old NeurIPS papers are online) and ICML. • Suppose we have a dataset giving the living areas, number of bedrooms and prices of 200 houses from a specific region: • Given data like this, how can we learn to predict the prices of other houses,. A major barrier to progress in computer based visual recognition is thus collecting. "Read enough so you start developing intuitions and then trust your intuitions and go for it!" Prof. 2019-jul-7 Geometric Expressions of the Intuition Behind an Instrospective Approach to Computing Covariance Presents different ways of visualizing the formula for Deformed Covariance, a comprehensive proof and implementation of Deformed Covariance, outlines interesting use cases versus the typical Covariance implementation. May 2019 - Aug 2019 4 months Atlanta, GA • Designed an end-to-end pipeline for forecasting stock prices using Capsule Networks and decision tree ensembles. [Course 2019] This is an Advanced Computer Vision which will expose graduate students to the cutting-edge research. rating distribution. 224k members in the learnmachinelearning community. Here is a list of courses that are a part of Stanford’s AI Graduate Certificate, along with the resources (Slides / Notes / Lecture Videos etc. 11: What if two teams end up working on the same project? It is okay if two teams end up working on the same project as long as they don’t coordinate to do so, in order to not be biased in the way they tackle the problem. Interviewing is a grueling process, specially during COVID. 2019年2月--2019年4月:笔记整理初级阶段,视频100%复现; 2019年4月--2019年6月:网站搭建,对笔记内容及排版迭代优化; 2019年5月--2019年6月:组队学习《李宏毅机器学习》并对内容进行迭代完善; 2019年7月:最后内容修正,正式推广。 开源地址. 7k | Reading time ≈ 2 mins. I am a computer vision engineer at Anduril Industries, where I work on defense technologies. DS 5220 Alina Oprea Associate Professor, CCIS Northeastern University November 13 2019 Supervised Machine Learning and Learning Theory. The syllabus for the Spring 2018, Spring 2017, Winter 2016 and Winter 2015 iterations of this course are still available. CS229 Problem Set #1 1 CS 229, Public Course Problem Set #1: Supervised Learning 1. 冬之晓东擅长机器学习,C++,大话设计模式——Qt实现,等方面的知识. Society for Computation in [email protected] 2020. CS229 Machine Learning 自学与答案 645 2019-02-15 Learning CS229 菜鸡自学CS229当中,主要是看notes和做assignments 欢迎拍砖github链接 2. [2019-11-5] Update: Add 99. CS229 Lecture notes Andrew Ng The k-means clustering algorithm In the clustering problem, we are given a training set {x (1),,x (m)}, and want to group the data into a few cohesive “clusters. If you want to see examples of recent work in machine learning, start by taking a look at the conferences NeurIPS (all old NeurIPS papers are online) and ICML. 资源是从CSDN下载的,50积分的那个太贵了,所以重新整理下载了该资源,不想花积分的话,可以直接去百度Andrew Ng CS229,直接去官方网站下载,资源都是开放的。. Added 23 Jun 2019 All content on the Bitshifters Github pages site is free to use and open source under Creative News Releases Docs About.