"Probabilistic Machine Learning" - a book series by Kevin Murphy
☆5,544Dec 10, 2025Updated 4 months ago
Alternatives and similar repositories for pml-book
Users that are interested in pml-book are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,051Feb 26, 2026Updated last month
- Probabilistic Machine Learning: Advanced Topics☆1,529Dec 10, 2025Updated 4 months ago
- Notebooks for "Probabilistic Machine Learning" book☆203May 4, 2022Updated 3 years ago
- Companion webpage to the book "Mathematics For Machine Learning"☆15,317Mar 13, 2025Updated last year
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆28,555Aug 18, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,311Updated this week
- PRML algorithms implemented in Python☆11,720Apr 5, 2025Updated last year
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,644Apr 2, 2026Updated last week
- An open access book on scientific visualization using python and matplotlib☆11,228Jan 4, 2026Updated 3 months ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,990Apr 1, 2026Updated last week
- NYU Deep Learning Spring 2020☆6,797Jun 16, 2025Updated 9 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,450Feb 20, 2026Updated last month
- This repository contains implementations and illustrative code to accompany DeepMind publications☆14,824Apr 1, 2026Updated last week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,862Mar 12, 2026Updated last month
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Deep universal probabilistic programming with Python and PyTorch☆8,994Jul 9, 2025Updated 9 months ago
- Google Research☆37,679Updated this week
- Understanding Deep Learning - Simon J.D. Prince☆9,333Feb 24, 2026Updated last month
- A playbook for systematically maximizing the performance of deep learning models.☆29,988Jun 18, 2024Updated last year
- Bayesian Data Analysis course at Aalto☆2,263Jan 8, 2026Updated 3 months ago
- Statistical Rethinking course winter 2022☆4,102Mar 15, 2022Updated 4 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,427Jun 25, 2024Updated last year
- Flax is a neural network library for JAX that is designed for flexibility.☆7,152Updated this week
- Graph Neural Network Library for PyTorch☆23,652Apr 4, 2026Updated last week
- 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.
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆159,060Updated this week
- Bayesian optimization in PyTorch☆3,498Updated this week
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆28,759Jul 18, 2024Updated last year
- Course notes for CS228: Probabilistic Graphical Models.☆2,001Jun 24, 2025Updated 9 months ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,038Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆9,564Updated this week
- A Python package for probabilistic state space modeling with JAX☆949Jan 6, 2026Updated 3 months ago
- The fastai book, published as Jupyter Notebooks☆24,856Aug 16, 2024Updated last year
- 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, fee…☆66,260Jan 22, 2026Updated 2 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,784Apr 16, 2024Updated last year
- JAX-based neural network library☆3,210Mar 31, 2026Updated last week
- Fast and Easy Infinite Neural Networks in Python☆2,381Mar 1, 2024Updated 2 years ago
- 📺 Discover the latest machine learning / AI courses on YouTube.☆17,139Jan 22, 2024Updated 2 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,242Updated this week
- "Deep Generative Modeling": Introductory Examples☆1,299Mar 9, 2026Updated last month
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,603Apr 3, 2026Updated last week