probml / pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
☆6,628Updated last month
Alternatives and similar repositories for pyprobml:
Users that are interested in pyprobml are comparing it to the libraries listed below
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,069Updated last month
- NYU Deep Learning Spring 2020☆6,704Updated 4 months ago
- Probabilistic Machine Learning: Advanced Topics☆1,423Updated last month
- PRML algorithms implemented in Python☆11,526Updated 3 months ago
- PyTorch tutorials and best practices.☆1,669Updated 2 years ago
- Companion webpage to the book "Mathematics For Machine Learning"☆13,593Updated last year
- Notebooks about Bayesian methods for machine learning☆1,838Updated 10 months ago
- Approaching (Almost) Any Machine Learning Problem☆7,677Updated last year
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,551Updated 3 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,923Updated 9 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆11,633Updated last week
- Trax — Deep Learning with Clear Code and Speed☆8,136Updated this week
- Bayesian optimization in PyTorch☆3,148Updated this week
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,286Updated this week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,364Updated this week
- Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.☆4,822Updated 5 months ago
- A Python toolbox for performing gradient-free optimization☆3,984Updated last month
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆24,546Updated 4 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆5,939Updated last week
- This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.☆2,376Updated 3 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,655Updated this week
- Model interpretability and understanding for PyTorch☆5,033Updated this week
- Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop☆2,216Updated 2 years ago
- this repository accompanies the book "Grokking Deep Learning"☆7,498Updated 7 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,835Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,627Updated this week
- https://huyenchip.com/ml-interviews-book/☆3,543Updated 7 months ago
- Book about interpretable machine learning☆4,827Updated this week
- An unofficial styleguide and best practices summary for PyTorch☆1,948Updated 3 years ago
- My solutions to Kevin Murphy Machine Learning Book☆538Updated 4 years ago