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
  ☆5,168Updated 4 months ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,457Updated 4 months ago
• ctgk / PRML
  PRML algorithms implemented in Python
  ☆11,566Updated last week
• ritchieng / the-incredible-pytorch
  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
  ☆11,815Updated 3 months ago
• Atcold / NYU-DLSP20
  NYU Deep Learning Spring 2020
  ☆6,753Updated last week
• chiphuyen / ml-interviews-book
  https://huyenchip.com/ml-interviews-book/
  ☆3,670Updated 3 weeks ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,681Updated 3 weeks ago
• uber / causalml
  Uplift modeling and causal inference with machine learning algorithms
  ☆5,340Updated 3 weeks ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,005Updated last week
• py-why / dowhy
  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…
  ☆7,401Updated last week
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,854Updated last year
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,723Updated this week
• khangich / machine-learning-interview
  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
  ☆10,580Updated last year
• pytorch / tutorials
  PyTorch tutorials.
  ☆8,510Updated this week
• pytorch / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆22,947Updated 2 months ago
• eugeneyan / ml-surveys
  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
  ☆2,850Updated 2 years ago
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,845Updated 2 months ago
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆537Updated 4 years ago
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,320Updated this week
• avehtari / BDA_course_Aalto
  Bayesian Data Analysis course at Aalto
  ☆2,193Updated 2 months ago
• AakashKumarNain / annotated_research_papers
  This repo contains annotated research papers that I found really good and useful
  ☆2,730Updated last month
• rll / deepul
  ☆792Updated this week
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,223Updated this week
• rasbt / python-machine-learning-book-3rd-edition
  The "Python Machine Learning (3rd edition)" book code repository
  ☆4,782Updated last year
• yandexdataschool / Practical_RL
  A course in reinforcement learning in the wild
  ☆6,102Updated 3 weeks ago
• optuna / optuna
  A hyperparameter optimization framework
  ☆11,753Updated this week
• jcjohnson / pytorch-examples
  Simple examples to introduce PyTorch
  ☆4,769Updated 3 years ago
• chiphuyen / machine-learning-systems-design
  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
  ☆9,373Updated 2 years ago
• google-deepmind / deepmind-research
  This repository contains implementations and illustrative code to accompany DeepMind publications
  ☆13,702Updated 3 weeks ago
• soulmachine / machine-learning-cheat-sheet
  Classical equations and diagrams in machine learning
  ☆7,601Updated 8 months ago