Alternatives and similar repositories for pml-book:

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

• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,691Updated 3 months ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,452Updated 3 months ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,678Updated 2 years ago
• Atcold / NYU-DLSP20
  NYU Deep Learning Spring 2020
  ☆6,736Updated last month
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,600Updated 6 months ago
• BoltzmannEntropy / interviews.ai
  It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; ho…
  ☆4,560Updated 3 years ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,852Updated last year
• michaelgutmann / ml-pen-and-paper-exercises
  Pen and paper exercises in machine learning
  ☆2,162Updated 10 months ago
• dair-ai / GNNs-Recipe
  🟠 A study guide to learn about Graph Neural Networks (GNNs)
  ☆1,184Updated 2 years ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,147Updated 6 months ago
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,415Updated last week
• bayesoptbook / bayesoptbook.github.io
  Companion webpage for the book "Bayesian Optimization" by Roman Garnett
  ☆904Updated 10 months ago
• google-deepmind / educational
  ☆1,424Updated 2 years ago
• mml-book / mml-book.github.io
  Companion webpage to the book "Mathematics For Machine Learning"
  ☆13,892Updated 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
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,942Updated 11 months ago
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆1,966Updated 3 years ago
• udlbook / udlbook
  Understanding Deep Learning - Simon J.D. Prince
  ☆7,287Updated 2 weeks ago
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,660Updated last year
• louisfb01 / best_AI_papers_2021
  A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth artic…
  ☆2,906Updated last year
• d2l-ai / d2l-en
  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …
  ☆25,316Updated 7 months ago
• dair-ai / ML-Notebooks
  Machine Learning Notebooks
  ☆3,330Updated 11 months ago
• christophM / interpretable-ml-book
  Book about interpretable machine learning
  ☆4,869Updated last week
• phlippe / uvadlc_notebooks
  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
  ☆2,759Updated last week
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆2,992Updated last week
• google / latexify_py
  A library to generate LaTeX expression from Python code.
  ☆7,450Updated last month
• tum-pbs / pbdl-book
  Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
  ☆1,062Updated this week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,986Updated last week
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,206Updated this week
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,665Updated 2 weeks ago