Alternatives and similar repositories for book-notes

Users that are interested in book-notes are comparing it to the libraries listed below

• ReactiveCJ / BayesianLearning
  Bayesian Machine Learning
  ☆208Updated 3 years ago
• zackchase / python-wow
  Python, so easy, wow!
  ☆139Updated 4 years ago
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆119Updated 5 years ago
• niudd / ICML-2017-Papers
  https://2017.icml.cc/Conferences/2017/Schedule
  ☆71Updated 8 years ago
• stone8oy / deepRL
  deep reinforcement learning for personal research
  ☆84Updated 7 years ago
• hpcgarage / accelerated_dl_pytorch
  Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II
  ☆126Updated 7 years ago
• hschen0712 / machine-learning-notes
  机器学习笔记
  ☆148Updated 7 years ago
• AILabUSiena / NeuralNetworksForBeginners
  ☆96Updated 8 years ago
• CIS2016 / MLaPP
  MLaPP读书会
  ☆39Updated 8 years ago
• nowozin / mlss2018-madrid-gan
  MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
  ☆179Updated 5 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆83Updated 8 years ago
• sth4nth / PRML
  Pattern recognition and machine learning toolbox
  ☆39Updated 3 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
  ☆160Updated 6 years ago
• chihyaoma / AdversarialNetsPapers
  The classical Papers and codes about adversarial nets
  ☆36Updated 8 years ago
• zjmwqx / nips-2017-paper-collection
  ☆55Updated 7 years ago
• mrahtz / distributed_tensorflow_gentle_introduction
  Jupyter notebook running through basic examples of Distributed TensorFlow
  ☆70Updated 3 years ago
• ppham27 / MLaPP-solutions
  Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective
  ☆53Updated 8 years ago
• QuantumLiu / matDL
  A lightweight MATLAB deeplearning toolbox,based on gpuArray.
  ☆53Updated 7 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• ExtremeMart / DeepLearningBook-ReadingNotes
  DeepLearningBook 读书会笔记及讲义
  ☆146Updated 8 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆131Updated 7 years ago
• chenrudan / deep-learning
  ☆33Updated 8 years ago
• 0bserver07 / Study-Reinforcement-Learning
  Studying Reinforcement Learning Guide
  ☆151Updated 7 years ago
• norouzi / hdml
  Hamming Distance Metric Learning with Non-linear Projection
  ☆73Updated 11 years ago
• JustFollowUs / Theoretical-Machine-Learning
  ☆24Updated 8 years ago
• awfssv / pytorch-cn
  Pythrch-CN文档地址
  ☆283Updated 6 years ago
• mlresearch / v80
  Proceedings of ICML 2018
  ☆39Updated 2 years ago
• justdark / matlab_code-ufldl-exercise-
  My UFLDL EXERCISE CODE
  ☆48Updated 12 years ago
• zhuhan1236 / transfer-caffe
  [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe
  ☆18Updated 8 years ago
• JustFollowUs / Reinforcement-Learning
  ☆214Updated 8 years ago