"Probabilistic Machine Learning" - a book series by Kevin Murphy
☆5,582Dec 10, 2025Updated 5 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☆7,088Feb 26, 2026Updated 3 months ago
- Probabilistic Machine Learning: Advanced Topics☆1,534May 26, 2026Updated last week
- Notebooks for "Probabilistic Machine Learning" book☆203May 4, 2022Updated 4 years ago
- Companion webpage to the book "Mathematics For Machine Learning"☆15,570Mar 13, 2025Updated last year
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆28,942Aug 18, 2024Updated 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.
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,741Updated this week
- PRML algorithms implemented in Python☆11,721Apr 5, 2025Updated last year
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,698May 31, 2026Updated last week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,168Updated this week
- An open access book on scientific visualization using python and matplotlib☆11,261Jan 4, 2026Updated 5 months ago
- NYU Deep Learning Spring 2020☆6,805Jun 16, 2025Updated 11 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,501May 31, 2026Updated last week
- This repository contains implementations and illustrative code to accompany DeepMind publications☆14,968May 19, 2026Updated 2 weeks ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,883May 29, 2026Updated last week
- 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.
- Deep universal probabilistic programming with Python and PyTorch☆9,004May 26, 2026Updated last week
- Google Research☆38,077Updated this week
- Understanding Deep Learning - Simon J.D. Prince☆9,541Feb 24, 2026Updated 3 months ago
- A playbook for systematically maximizing the performance of deep learning models.☆30,164Jun 18, 2024Updated last year
- Bayesian Data Analysis course at Aalto☆2,272May 14, 2026Updated 3 weeks ago
- Statistical Rethinking course winter 2022☆4,103Mar 15, 2022Updated 4 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,151Jun 25, 2024Updated last year
- Graph Neural Network Library for PyTorch☆23,794Updated this week
- Flax is a neural network library for JAX that is designed for flexibility.☆7,218May 31, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆161,309Updated this week
- Bayesian optimization in PyTorch☆3,543Updated this week
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆29,647Jul 18, 2024Updated last year
- Course notes for CS228: Probabilistic Graphical Models.☆2,005Jun 24, 2025Updated 11 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…☆8,136Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆9,629Updated this week
- 🧑 🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, fee…☆66,851Jan 22, 2026Updated 4 months ago
- The fastai book, published as Jupyter Notebooks☆25,009Aug 16, 2024Updated last year
- A Python package for probabilistic state space modeling with JAX☆966Jan 6, 2026Updated 5 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,881Apr 16, 2024Updated 2 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,382Mar 1, 2024Updated 2 years ago
- JAX-based neural network library☆3,236Updated this week
- 📺 Discover the latest machine learning / AI courses on YouTube.☆17,230Jan 22, 2024Updated 2 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,498Updated this week
- "Deep Generative Modeling": Introductory Examples☆1,318Apr 28, 2026Updated last month
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,850Updated this week