amber-kshz / PRMLLinks
Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
☆255Updated 4 years ago
Alternatives and similar repositories for PRML
Users that are interested in PRML are comparing it to the libraries listed below
Sorting:
- Notebooks for "Probabilistic Machine Learning" book☆203Updated 3 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆288Updated 7 years ago
- Solutions to "Machine Learning: A Probabilistic Perspective"☆162Updated 4 years ago
- legend☆205Updated last year
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- Deep learning course CE7454, 2019☆190Updated 5 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- ☆260Updated 5 years ago
- My PyTorch project template (for Kaggle and research)☆147Updated 6 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆277Updated 6 years ago
- Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)☆68Updated 5 years ago
- My Own Solution Manual of PRML☆987Updated 4 years ago
- Course notes☆699Updated last year
- Deep learning model zoo with TensorFlow 2.X (& Keras)☆134Updated 4 years ago
- Collaborative lecture notes for Spring '19 NYU DL class☆119Updated 5 years ago
- ☆154Updated 5 years ago
- My utility scripts for Kaggle competitions☆119Updated 4 years ago
- Code for Kaggle and Offline Competitions☆294Updated last year
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆307Updated 3 years ago
- More PRML Errata☆80Updated 2 years ago
- ☆344Updated 4 years ago
- The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch☆184Updated 5 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆281Updated 4 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆135Updated 10 months ago
- Machine Learning Conference & Summer School Notes. 🦄☆574Updated 4 years ago
- Deep learning course CE7454, 2018☆79Updated 5 years ago
- Understanding nuts and bolts of neural networks with PyTorch☆33Updated 4 years ago