vagmcs / PRMLLinks
PRML notes, proofs and algorithms implemented in Python
☆38Updated last week
Alternatives and similar repositories for PRML
Users that are interested in PRML are comparing it to the libraries listed below
Sorting:
- ☆89Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Repository for my Big Data Optimization course☆35Updated 4 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆148Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆191Updated 2 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆129Updated last year
- Python implementations (on jupyter notebook) of algorithms described in the book "PRML"☆259Updated 4 years ago
- 涉及机器学习中深度学习、强化学习、监督学习、集成学习相关的pdf书籍及其个人的阅读笔记☆169Updated 6 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial☆41Updated 7 years ago
- The only guide you need to learn everything about GMM☆131Updated 11 months ago
- Repository for my convex optimization course.☆53Updated 4 years ago
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆133Updated 2 years ago
- KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective☆33Updated 2 years ago
- Collection of Deep Reinforcement Learning Jupyter Notebooks. Each notebook is self-contained and presents single algorithm. These include…☆38Updated 5 years ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆238Updated 2 months ago
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Updated 4 years ago
- 张量计算系列教程 (Tensor Computations Tutorials)☆134Updated last year
- A curated list of awesome variational inference☆26Updated 5 years ago
- Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)☆68Updated 5 years ago
- Bayesian Learning and Neural Networks (jupyter book sources)☆57Updated 2 years ago
- 记录学习凸优化的笔记☆26Updated 5 years ago
- ☆239Updated 2 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆71Updated 2 months ago
- ☆20Updated 2 years ago
- Stanford CS246 Mining Massive Data Sets course HW☆15Updated 8 years ago
- Source code for Bayesian Optimization in Action, published by Manning☆103Updated 2 years ago
- Book and material for the course "Time series analysis with Python" (STA-2003)☆165Updated 4 months ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago