Alternatives and similar repositories for cs229

Users that are interested in cs229 are comparing it to the libraries listed below

• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆723Updated 6 years ago
• zhuzilin / NP_ML
  A tool library of classical machine learning algorithms with only numpy.
  ☆223Updated 4 years ago
• Sierkinhane / CS229-ML-Implementation
  Implementation of algorithms introduced in CS229.
  ☆388Updated 3 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆284Updated 6 years ago
• WangYang-wy / Machine-Learning-Foundations-and-Techniques
  Coursera 机器学习基石 机器学习技法 林轩田 课堂PPT、作业及课堂笔记。
  ☆162Updated 7 years ago
• ws13685555932 / 18.065_lecture_notes
  lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
  ☆154Updated 6 years ago
• cycleuser / MLAPP-CN
  A Chinese Notes of MLAPP，MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy
  ☆363Updated 4 years ago
• dalmia / Deep-Learning-Book-Chapter-Summaries
  Attempting to make the Deep Learning Book easier to understand.
  ☆1,078Updated 7 years ago
• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆129Updated 3 years ago
• zsdonghao / deep-learning-book
  《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  ☆569Updated 6 years ago
• Halfish / machine-learning-reference
  常见的机器学习参考资料，包括书籍、公开课等
  ☆439Updated 5 years ago
• omar-florez / scratch_mlp
  Explaining the Math of how neural networks learn
  ☆377Updated 5 years ago
• nick6918 / MyDeepLearning
  A deep learning library to provide algs in pure Numpy or Tensorflow.
  ☆292Updated 8 years ago
• ppham27 / MLaPP-solutions
  Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective
  ☆53Updated 8 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆577Updated 2 years ago
• Doraemonzzz / ML-Foundation-and-ML-Techniques
  台大机器学习课程作业详解
  ☆301Updated 6 years ago
• L1aoXingyu / Roadmap-of-DL-and-ML
  Roadmap of DL and ML, some courses, study notes and paper summary
  ☆756Updated 7 years ago
• Leputa / Machine-Learning-Foundations-Techniques
  ☆110Updated 7 years ago
• GitYCC / NTU_HYLee_MachineLearning_Homework
  作業分享：台大李宏毅 (Hung-Yi Lee) 教授的Machine Learning (2016, Fall)
  ☆168Updated 4 years ago
• AceCoooool / MLF-MLT
  机器学习基石和机器学习技法作业
  ☆119Updated 6 years ago
• roboticcam / python_machine_learning
  it contains all my python demo code accompanying my machine learning notes
  ☆81Updated last year
• Doraemonzzz / Learning-from-data
  记录Learning from data一书中的习题解答
  ☆1,001Updated 6 years ago
• MahanFathi / CS231
  Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
  ☆384Updated 3 years ago
• mbadry1 / CS231n-2017-Summary
  After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole cou…
  ☆1,572Updated 5 years ago
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆541Updated 5 years ago
• pbharrin / machinelearninginaction3x
  Source Code for Machine Learning in Action for Python 3.X
  ☆360Updated 5 years ago
• Burton2000 / CS231n-2017
  Completed the CS231n 2017 spring assignments from Stanford university
  ☆603Updated 2 years ago
• bighuang624 / Andrew-Ng-Deep-Learning-notes
  吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course
  ☆1,029Updated 3 years ago
• ks838 / Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
  Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
  ☆68Updated 5 years ago
• learning511 / Stanford-Machine-Learning-camp
  ☆144Updated 6 years ago