"Probabilistic Machine Learning" - a book series by Kevin Murphy
☆5,568Dec 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☆7,075Feb 26, 2026Updated 2 months ago
- Probabilistic Machine Learning: Advanced Topics☆1,535Dec 10, 2025Updated 5 months ago
- Notebooks for "Probabilistic Machine Learning" book☆203May 4, 2022Updated 4 years ago
- Companion webpage to the book "Mathematics For Machine Learning"☆15,492Mar 13, 2025Updated last year
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆28,843Aug 18, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,627Updated this week
- PRML algorithms implemented in Python☆11,719Apr 5, 2025Updated last year
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,680Updated this week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,139May 14, 2026Updated last week
- An open access book on scientific visualization using python and matplotlib☆11,258Jan 4, 2026Updated 4 months ago
- NYU Deep Learning Spring 2020☆6,806Jun 16, 2025Updated 11 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,485Apr 19, 2026Updated last month
- This repository contains implementations and illustrative code to accompany DeepMind publications☆14,926May 12, 2026Updated last week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,879May 1, 2026Updated 3 weeks ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Deep universal probabilistic programming with Python and PyTorch☆9,001Jul 9, 2025Updated 10 months ago
- Google Research☆37,963Updated this week
- Understanding Deep Learning - Simon J.D. Prince☆9,496Feb 24, 2026Updated 2 months ago
- A playbook for systematically maximizing the performance of deep learning models.☆30,121Jun 18, 2024Updated last year
- Bayesian Data Analysis course at Aalto☆2,270May 14, 2026Updated last week
- Statistical Rethinking course winter 2022☆4,104Mar 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
- Flax is a neural network library for JAX that is designed for flexibility.☆7,198May 12, 2026Updated last week
- Graph Neural Network Library for PyTorch☆23,764Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆160,794Updated this week
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆29,186Jul 18, 2024Updated last year
- Bayesian optimization in PyTorch☆3,528May 14, 2026Updated last week
- Course notes for CS228: Probabilistic Graphical Models.☆2,003Jun 24, 2025Updated 10 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…☆8,116Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆9,619Updated this week
- 🧑 🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, fee…☆66,698Jan 22, 2026Updated 4 months ago
- The fastai book, published as Jupyter Notebooks☆24,981Aug 16, 2024Updated last year
- A Python package for probabilistic state space modeling with JAX☆964Jan 6, 2026Updated 4 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☆10,864Apr 16, 2024Updated 2 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,383Mar 1, 2024Updated 2 years ago
- JAX-based neural network library☆3,231May 12, 2026Updated last week
- 📺 Discover the latest machine learning / AI courses on YouTube.☆17,202Jan 22, 2024Updated 2 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,431Updated this week
- "Deep Generative Modeling": Introductory Examples☆1,318Apr 28, 2026Updated 3 weeks ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,809May 8, 2026Updated 2 weeks ago