"Probabilistic Machine Learning" - a book series by Kevin Murphy
☆5,506Dec 10, 2025Updated 2 months ago
Alternatives and similar repositories for pml-book
Users that are interested in pml-book are comparing it to the libraries listed below
Sorting:
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,017Updated this week
- Probabilistic Machine Learning: Advanced Topics☆1,521Dec 10, 2025Updated 2 months ago
- Notebooks for "Probabilistic Machine Learning" book☆201May 4, 2022Updated 3 years ago
- Companion webpage to the book "Mathematics For Machine Learning"☆15,069Mar 13, 2025Updated 11 months ago
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆28,302Aug 18, 2024Updated last year
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆34,940Updated this week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,884Updated this week
- An open access book on scientific visualization using python and matplotlib☆11,210Jan 4, 2026Updated last month
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,610Feb 22, 2026Updated last week
- PRML algorithms implemented in Python☆11,720Apr 5, 2025Updated 10 months ago
- NYU Deep Learning Spring 2020☆6,790Jun 16, 2025Updated 8 months ago
- This repository contains implementations and illustrative code to accompany DeepMind publications☆14,719Feb 20, 2026Updated last week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,401Feb 20, 2026Updated last week
- Google Research☆37,367Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,835Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,983Jul 9, 2025Updated 7 months ago
- Bayesian Data Analysis course at Aalto☆2,256Jan 8, 2026Updated last month
- Graph Neural Network Library for PyTorch☆23,498Feb 19, 2026Updated last week
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆28,698Jul 18, 2024Updated last year
- Statistical Rethinking course winter 2022☆4,102Mar 15, 2022Updated 3 years ago
- Understanding Deep Learning - Simon J.D. Prince☆9,121Updated this week
- A playbook for systematically maximizing the performance of deep learning models.☆29,861Jun 18, 2024Updated last year
- Flax is a neural network library for JAX that is designed for flexibility.☆7,094Updated this week
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,413Jun 25, 2024Updated last year
- Bayesian optimization in PyTorch☆3,470Updated 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…☆7,970Feb 18, 2026Updated last week
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆157,071Updated this week
- 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, fee…☆65,830Jan 22, 2026Updated last month
- The fastai book, published as Jupyter Notebooks☆24,617Aug 16, 2024Updated last year
- Bayesian Modeling and Probabilistic Programming in Python☆9,498Updated this week
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,708Apr 16, 2024Updated last year
- Course notes for CS228: Probabilistic Graphical Models.☆1,994Jun 24, 2025Updated 8 months ago
- Fast and Easy Infinite Neural Networks in Python☆2,375Mar 1, 2024Updated 2 years ago
- 📺 Discover the latest machine learning / AI courses on YouTube.☆17,101Jan 22, 2024Updated 2 years ago
- JAX-based neural network library☆3,191Updated this week
- A game theoretic approach to explain the output of any machine learning model.☆25,072Feb 20, 2026Updated last week
- A Python package for probabilistic state space modeling with JAX☆932Jan 6, 2026Updated last month
- A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training☆23,746Aug 15, 2024Updated last year
- 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools☆21,228Updated this week