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
  ☆721Updated 5 years ago
• zhuzilin / NP_ML
  A tool library of classical machine learning algorithms with only numpy.
  ☆223Updated 4 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
• Sierkinhane / CS229-ML-Implementation
  Implementation of algorithms introduced in CS229.
  ☆389Updated 3 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆283Updated 6 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
• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆130Updated 3 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。
  ☆163Updated 7 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆576Updated last year
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 4 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆293Updated 7 years ago
• Burton2000 / CS231n-2017
  Completed the CS231n 2017 spring assignments from Stanford university
  ☆603Updated 2 years ago
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆118Updated 5 years ago
• anch3or / Notes-on-Statistical-Learning-Methods
  李航《统计学习方法》中机器学习模型的LaTeX公式笔记
  ☆162Updated 6 years ago
• dalmia / Deep-Learning-Book-Chapter-Summaries
  Attempting to make the Deep Learning Book easier to understand.
  ☆1,080Updated 7 years ago
• MahanFathi / CS231
  Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
  ☆384Updated 3 years ago
• Doraemonzzz / ML-Foundation-and-ML-Techniques
  台大机器学习课程作业详解
  ☆301Updated 6 years ago
• AceCoooool / MLF-MLT
  机器学习基石和机器学习技法作业
  ☆119Updated 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
  ☆440Updated 5 years ago
• maxim5 / cs224n-2017-winter
  All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
  ☆236Updated 3 years ago
• L1aoXingyu / Roadmap-of-DL-and-ML
  Roadmap of DL and ML, some courses, study notes and paper summary
  ☆755Updated 7 years ago
• zl1732 / DS1003-Machine-Learning
  ☆24Updated 8 years ago
• nick6918 / MyDeepLearning
  A deep learning library to provide algs in pure Numpy or Tensorflow.
  ☆292Updated 8 years ago
• xiezhq-hermann / cs231n-2017
  My own solutions for Stanford CS231n (2017) assignments
  ☆44Updated 7 years ago
• ppham27 / MLaPP-solutions
  Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective
  ☆53Updated 8 years ago
• roboticcam / python_machine_learning
  it contains all my python demo code accompanying my machine learning notes
  ☆81Updated last year
• omar-florez / scratch_mlp
  Explaining the Math of how neural networks learn
  ☆375Updated 5 years ago
• Doraemonzzz / Learning-from-data
  记录Learning from data一书中的习题解答
  ☆998Updated 6 years ago
• ws13685555932 / 18.065_lecture_notes
  lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
  ☆152Updated 6 years ago
• Leputa / Machine-Learning-Foundations-Techniques
  ☆110Updated 7 years ago