vagmcs / PRMLLinks
PRML notes, proofs and algorithms implemented in Python
☆39Updated last week
Alternatives and similar repositories for PRML
Users that are interested in PRML are comparing it to the libraries listed below
Sorting:
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- ☆89Updated 2 years ago
- Repository for my Big Data Optimization course☆37Updated 4 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆198Updated 2 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆134Updated last year
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆297Updated 5 years ago
- Collection of Deep Reinforcement Learning Jupyter Notebooks. Each notebook is self-contained and presents single algorithm. These include…☆38Updated 5 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆153Updated last year
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆135Updated 2 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 3 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☆173Updated 6 years ago
- Python implementations (on jupyter notebook) of algorithms described in the book "PRML"☆259Updated 4 years ago
- Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial☆41Updated 7 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- ☆240Updated 3 years ago
- Repository for my convex optimization course.☆53Updated 4 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆72Updated 3 months ago
- Code and notebook repository for the book Evolutionary Deep Learning by Micheal Lanham☆63Updated 3 years ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆239Updated 4 months ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Updated 4 years ago
- STATS305C: Applied Statistics III (Spring, 2023)☆29Updated 2 years ago
- ☆22Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 4 years ago
- The only guide you need to learn everything about GMM☆135Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- A Chinese learning note with python codes for Pattern Recognition and Machine Learning.☆30Updated 7 years ago
- Lecture Slides, Notes and Problem Set Answers to the Game Theory course on Coursera by Stanford University and The University of British …☆78Updated 5 years ago
- ☆53Updated 5 years ago