florist-notes / CS228_PGMLinks
🌲 Stanford CS 228 - Probabilistic Graphical Models
☆146Updated last year
Alternatives and similar repositories for CS228_PGM
Users that are interested in CS228_PGM are comparing it to the libraries listed below
Sorting:
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- ☆238Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆89Updated 6 years ago
- ☆89Updated 2 years ago
- Course notes☆728Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆189Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆247Updated last month
- ☆190Updated 2 years ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆350Updated 4 months ago
- MPhil Machine Learning and Machine Intelligence @ University of Cambridge☆52Updated 6 years ago
- Repository for my convex optimization course.☆53Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 2 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆155Updated 6 years ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆35Updated 8 years ago
- ☆147Updated 5 months ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- ☆824Updated 7 months ago
- ☆54Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆294Updated 5 years ago
- ☆219Updated last year
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆231Updated 4 years ago
- Causal Variational AutoEncoders☆29Updated 5 years ago
- https://cs330.stanford.edu/☆62Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- ☆22Updated 4 years ago
- Solutions to "Machine Learning: A Probabilistic Perspective"☆162Updated 4 years ago