Python code for "Probabilistic Machine learning" book by Kevin Murphy
☆7,159Feb 26, 2026Updated 7 months ago
Alternatives and similar repositories for pyprobml
Users that are interested in pyprobml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,686Dec 10, 2025Updated 9 months ago
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,570Jun 23, 2021Updated 5 years ago
- Probabilistic Machine Learning: Advanced Topics☆1,546May 26, 2026Updated 4 months ago
- Notebooks for "Probabilistic Machine Learning" book☆202May 4, 2022Updated 4 years ago
- PRML algorithms implemented in Python☆11,735Apr 5, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- NYU Deep Learning Spring 2020☆6,808Jun 16, 2025Updated last year
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,369Updated this week
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆29,753Aug 18, 2024Updated 2 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,757Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆9,062Updated this week
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,176Jun 25, 2024Updated 2 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,923Updated this week
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,435Sep 23, 2026Updated last week
- Companion webpage to the book "Mathematics For Machine Learning"☆16,080Mar 13, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Python Implementation of Reinforcement Learning: An Introduction☆14,771Aug 9, 2024Updated 2 years ago
- Bayesian Data Analysis course at Aalto☆2,282Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆9,791Updated this week
- Google Research☆38,869Updated this week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,373Sep 21, 2026Updated last week
- A Python package for probabilistic state space modeling with JAX☆1,016Updated this week
- This repository contains implementations and illustrative code to accompany DeepMind publications☆15,211Jun 17, 2026Updated 3 months ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,141Jul 13, 2023Updated 3 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,612Aug 26, 2026Updated last month
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Course notes for CS228: Probabilistic Graphical Models.☆2,013Jun 24, 2025Updated last year
- PyMC educational resources☆2,108Dec 23, 2024Updated last year
- Bayesian optimization in PyTorch☆3,608Updated this week
- Efficiently computes derivatives of NumPy code.☆7,537Updated this week
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,992Apr 16, 2024Updated 2 years ago
- Graph Neural Network Library for PyTorch☆24,104Updated this week
- Notebooks about Bayesian methods for machine learning☆1,918Jul 12, 2026Updated 2 months ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,842Mar 18, 2024Updated 2 years ago
- An open access book on scientific visualization using python and matplotlib☆11,591Jan 4, 2026Updated 8 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A game theoretic approach to explain the output of any machine learning model.☆25,792Updated this week
- Flax is a neural network library for JAX that is designed for flexibility.☆7,332Updated this week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,335Updated this week
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,652Sep 23, 2026Updated last week
- A collection of various deep learning architectures, models, and tips☆17,610Sep 26, 2026Updated last week
- Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,exte…☆19,398Aug 7, 2024Updated 2 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆474May 4, 2025Updated last year