probml / pyprobmlLinks
Python code for "Probabilistic Machine learning" book by Kevin Murphy
☆6,858Updated 8 months ago
Alternatives and similar repositories for pyprobml
Users that are interested in pyprobml are comparing it to the libraries listed below
Sorting:
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,310Updated 3 months ago
- Probabilistic Machine Learning: Advanced Topics☆1,480Updated 3 months ago
- Notebooks about Bayesian methods for machine learning☆1,875Updated last year
- PyTorch tutorials and best practices.☆1,691Updated 4 months ago
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,562Updated 4 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,968Updated last month
- NYU Deep Learning Spring 2021☆1,628Updated 11 months ago
- NYU Deep Learning Spring 2020☆6,773Updated last month
- My Own Solution Manual of PRML☆989Updated 4 years ago
- Lectures for INFO8010 Deep Learning, ULiège☆1,266Updated 2 months ago
- PRML algorithms implemented in Python☆11,642Updated 4 months ago
- Book about interpretable machine learning☆5,056Updated 4 months ago
- code for deep learning courses☆1,134Updated 2 months ago
- Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratc…☆1,806Updated 6 months ago
- Python Library for Causal and Probabilistic Modeling using Bayesian Networks☆3,022Updated this week
- PyMC educational resources☆2,028Updated 7 months ago
- My solutions to Kevin Murphy Machine Learning Book☆541Updated 5 years ago
- Pen and paper exercises in machine learning☆2,390Updated last year
- Statistical Rethinking course winter 2022☆4,108Updated 3 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆832Updated 5 years ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,550Updated 4 years ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,864Updated 2 years ago
- Machine Learning Notebooks☆3,406Updated last year
- Text and code for the second edition of Think Bayes, by Allen Downey.☆1,942Updated 3 weeks ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,034Updated 2 weeks ago
- Classical equations and diagrams in machine learning☆7,813Updated last year
- Efficiently computes derivatives of NumPy code.☆7,331Updated this week
- Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop☆2,398Updated 3 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,510Updated last week
- An unofficial styleguide and best practices summary for PyTorch☆1,994Updated 3 years ago