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
  ☆542Updated 5 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆834Updated 5 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆547Updated 2 years ago
• deepgenerativemodels / notes
  Course notes
  ☆740Updated last year
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆894Updated last year
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆1,004Updated 4 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,047Updated 6 years ago
• dustinvtran / ml-videos
  A collection of video resources for machine learning
  ☆1,555Updated 5 years ago
• mila-iqia / welcome_tutorials
  Various tutorials given for welcoming new students at MILA.
  ☆984Updated 7 years ago
• probml / pmtk3
  Probabilistic Modeling Toolkit for Matlab/Octave.
  ☆1,572Updated 4 years ago
• jluttine / tikz-bayesnet
  TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
  ☆860Updated last year
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,912Updated last year
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,840Updated last year
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆723Updated 6 years ago
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆1,012Updated 5 years ago
• yell / boltzmann-machines
  Boltzmann Machines in TensorFlow with examples
  ☆852Updated 4 years ago
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,352Updated 2 years ago
• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,305Updated 8 years ago
• goodfeli / dlbook_notation
  LaTeX files for the Deep Learning book notation
  ☆1,851Updated 2 years ago
• andrewgordonwilson / bayesgan
  Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
  ☆1,017Updated 7 years ago
• rll / deepul
  ☆827Updated 10 months ago
• Kaixhin / grokking-pytorch
  The Hitchiker's Guide to PyTorch
  ☆1,199Updated 4 years ago
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,658Updated 2 months ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,901Updated 8 months ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,518Updated 2 months ago
• brylevkirill / notes
  Learn about Machine Learning and Artificial Intelligence
  ☆926Updated 4 years ago
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,408Updated this week
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆910Updated 6 years ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,015Updated 5 years ago
• jaanli / variational-autoencoder
  Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
  ☆1,183Updated last year