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
  ☆6,825Updated 7 months ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,474Updated 2 months ago
• michaelgutmann / ml-pen-and-paper-exercises
  Pen and paper exercises in machine learning
  ☆2,366Updated last year
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,624Updated 10 months ago
• dair-ai / Transformers-Recipe
  🧠 A study guide to learn about Transformers
  ☆1,596Updated 2 years ago
• minitorch / minitorch
  The full minitorch student suite.
  ☆2,128Updated 10 months ago
• eugeneyan / ml-surveys
  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
  ☆2,857Updated 2 years ago
• chiphuyen / ml-interviews-book
  https://huyenchip.com/ml-interviews-book/
  ☆3,772Updated 3 months ago
• phlippe / uvadlc_notebooks
  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
  ☆2,901Updated 3 months ago
• google-deepmind / educational
  ☆1,444Updated 2 years ago
• dair-ai / ML-Notebooks
  Machine Learning Notebooks
  ☆3,391Updated last year
• 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…
  ☆4,633Updated 3 years ago
• avehtari / BDA_course_Aalto
  Bayesian Data Analysis course at Aalto
  ☆2,209Updated 5 months ago
• dair-ai / GNNs-Recipe
  🟠 A study guide to learn about Graph Neural Networks (GNNs)
  ☆1,219Updated 2 years ago
• neonwatty / machine-learning-refined
  Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratc…
  ☆1,792Updated 5 months ago
• ashishpatel26 / Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
  Tools to Design or Visualize Architecture of Neural Network
  ☆4,936Updated last year
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,197Updated 9 months ago
• telmo-correa / all-of-statistics
  Self-study on Larry Wasserman's "All of Statistics"
  ☆1,113Updated 2 years ago
• dair-ai / Mathematics-for-ML
  🧮 A collection of resources to learn mathematics for machine learning
  ☆5,161Updated 2 years ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,689Updated 3 months ago
• 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…
  ☆2,911Updated last year
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆985Updated 4 years ago
• huggingface / deep-rl-class
  This repo contains the Hugging Face Deep Reinforcement Learning Course.
  ☆4,400Updated 3 weeks ago
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,296Updated this week
• bayesoptbook / bayesoptbook.github.io
  Companion webpage for the book "Bayesian Optimization" by Roman Garnett
  ☆914Updated last year
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,868Updated last year
• upb-lea / reinforcement_learning_course_materials
  Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn Univ…
  ☆991Updated 9 months ago
• rougier / scientific-visualization-book
  An open access book on scientific visualization using python and matplotlib
  ☆10,970Updated last year
• alexlenail / NN-SVG
  Publication-ready NN-architecture schematics.
  ☆5,546Updated 7 months ago
• gerdm / prml
  Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
  ☆2,367Updated 2 years ago