amber-kshz / PRML
Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
☆246Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for PRML
- Code for Kaggle and Offline Competitions☆292Updated last year
- My utility scripts for Kaggle competitions☆120Updated 3 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 2 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆284Updated 6 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆827Updated 4 years ago
- legend☆197Updated last year
- MLSS2019 Tutorial on Bayesian Deep Learning☆90Updated 4 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 4 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆106Updated 2 months ago
- My Own Solution Manual of PRML☆970Updated 3 years ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆305Updated 2 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆853Updated 3 years ago
- Solutions to "Machine Learning: A Probabilistic Perspective"☆153Updated 3 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆272Updated 5 years ago
- More PRML Errata☆80Updated 2 years ago
- My PyTorch project template (for Kaggle and research)☆147Updated 5 years ago
- My solutions to Kevin Murphy Machine Learning Book☆536Updated 4 years ago
- Course notes☆624Updated 7 months ago
- This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.☆273Updated last month
- ☆87Updated last year
- ☆85Updated 3 years ago
- Flexible Feature Engineering & Exploration Library using GPUs and Optuna.☆371Updated 3 months ago
- Deep learning course CE7454, 2019☆189Updated 5 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆291Updated 5 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆119Updated 5 years ago
- Understanding nuts and bolts of neural networks with PyTorch☆32Updated 3 years ago
- The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch☆181Updated 4 years ago
- ☆766Updated 8 months ago