Alternatives and similar repositories for pyprobml

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

• probml / pml-book
  "Probabilistic Machine Learning" - a book series by Kevin Murphy
  ☆5,361Updated 5 months ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,490Updated 5 months ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,972Updated 3 months ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,896Updated last year
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,641Updated 3 weeks ago
• Atcold / NYU-DLSP20
  NYU Deep Learning Spring 2020
  ☆6,779Updated 3 months ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,697Updated 6 months ago
• ctgk / PRML
  PRML algorithms implemented in Python
  ☆11,664Updated 6 months ago
• probml / pmtk3
  Probabilistic Modeling Toolkit for Matlab/Octave.
  ☆1,568Updated 4 years ago
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,871Updated 2 months ago
• michaelgutmann / ml-pen-and-paper-exercises
  Pen and paper exercises in machine learning
  ☆2,495Updated last year
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,380Updated last week
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆832Updated 5 years ago
• fastai / numerical-linear-algebra
  Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
  ☆10,610Updated last year
• google-deepmind / educational
  ☆1,463Updated 3 years ago
• gerdm / prml
  Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
  ☆2,442Updated 3 years ago
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆9,205Updated last month
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆997Updated 4 years ago
• ritchieng / the-incredible-pytorch
  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
  ☆12,122Updated 2 weeks ago
• christophM / interpretable-ml-book
  Book about interpretable machine learning
  ☆5,090Updated 6 months ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,250Updated last month
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆541Updated 5 years ago
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,535Updated last week
• hardikkamboj / An-Introduction-to-Statistical-Learning
  This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
  ☆2,449Updated last year
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆9,277Updated last week
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,366Updated last week
• luspr / awesome-ml-courses
  Awesome free machine learning and AI courses with video lectures.
  ☆2,988Updated 9 months ago
• dvgodoy / dl-visuals
  Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presenta…
  ☆1,495Updated 4 years ago
• deepgenerativemodels / notes
  Course notes
  ☆721Updated last year
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆901Updated 4 years ago