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
  ☆5,137Updated 3 months ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,452Updated 3 months ago
• Atcold / NYU-DLSP20
  NYU Deep Learning Spring 2020
  ☆6,736Updated last month
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,678Updated 2 years ago
• ctgk / PRML
  PRML algorithms implemented in Python
  ☆11,558Updated 5 months ago
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,200Updated this week
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,693Updated last week
• ritchieng / the-incredible-pytorch
  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
  ☆11,773Updated 2 months ago
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆23,577Updated this week
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,852Updated last year
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,986Updated last week
• christophM / interpretable-ml-book
  Book about interpretable machine learning
  ☆4,869Updated last week
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,302Updated last week
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,665Updated last week
• JWarmenhoven / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆4,309Updated 2 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,942Updated 11 months ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,600Updated 6 months ago
• microsoft / nni
  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…
  ☆14,153Updated 8 months ago
• probml / pmtk3
  Probabilistic Modeling Toolkit for Matlab/Octave.
  ☆1,552Updated 3 years ago
• rasbt / python-machine-learning-book-2nd-edition
  The "Python Machine Learning (2nd edition)" book code repository and info resource
  ☆7,154Updated 4 years ago
• deep-learning-with-pytorch / dlwpt-code
  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
  ☆4,888Updated 8 months ago
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,660Updated last year
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,206Updated this week
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,136Updated this week
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,415Updated last week
• rasbt / deeplearning-models
  A collection of various deep learning architectures, models, and tips
  ☆16,944Updated last year
• mml-book / mml-book.github.io
  Companion webpage to the book "Mathematics For Machine Learning"
  ☆13,892Updated last week
• afshinea / stanford-cs-230-deep-learning
  VIP cheatsheets for Stanford's CS 230 Deep Learning
  ☆6,496Updated 4 years ago
• fchollet / deep-learning-with-python-notebooks
  Jupyter notebooks for the code samples of the book "Deep Learning with Python"
  ☆19,051Updated 8 months ago
• 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
  ☆872Updated 3 years ago