Alternatives and similar repositories for cs228-notes

Users that are interested in cs228-notes are comparing it to the libraries listed below

• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆541Updated 4 years ago
• dustinvtran / ml-videos
  A collection of video resources for machine learning
  ☆1,547Updated 4 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆832Updated 5 years ago
• mila-iqia / welcome_tutorials
  Various tutorials given for welcoming new students at MILA.
  ☆986Updated 7 years ago
• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,301Updated 7 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆545Updated 2 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆720Updated 5 years ago
• probml / pmtk3
  Probabilistic Modeling Toolkit for Matlab/Octave.
  ☆1,562Updated 4 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,045Updated 5 years ago
• jluttine / tikz-bayesnet
  TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
  ☆846Updated last year
• hal3 / ciml
  A Course in Machine Learning
  ☆902Updated 2 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆890Updated last year
• deepgenerativemodels / notes
  Course notes
  ☆704Updated last year
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,350Updated 2 years ago
• brylevkirill / notes
  Learn about Machine Learning and Artificial Intelligence
  ☆917Updated 3 years ago
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,839Updated last year
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆573Updated last year
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆988Updated 5 years ago
• dustinvtran / latex-templates
  A collection of LaTeX templates used for research, courses, and miscellanea.
  ☆752Updated 4 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆283Updated 6 years ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,872Updated last year
• rll / deepul
  ☆812Updated 3 months ago
• goodfeli / dlbook_notation
  LaTeX files for the Deep Learning book notation
  ☆1,786Updated 2 years ago
• amaas / stanford_dl_ex
  Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
  ☆2,621Updated 4 years ago
• goodfeli / dlbook_exercises
  Exercises for the Deep Learning textbook at www.deeplearningbook.org
  ☆1,372Updated 3 years ago
• zackchase / mxnet-the-straight-dope
  An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorpor…
  ☆2,560Updated 5 years ago
• dennybritz / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆4,420Updated 7 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆874Updated 5 years ago
• andrewgordonwilson / bayesgan
  Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
  ☆1,016Updated 7 years ago
• Kaixhin / grokking-pytorch
  The Hitchiker's Guide to PyTorch
  ☆1,197Updated 3 years ago