florist-notes / CS228_PGMLinks
π² Stanford CS 228 - Probabilistic Graphical Models
β136Updated 11 months ago
Alternatives and similar repositories for CS228_PGM
Users that are interested in CS228_PGM are comparing it to the libraries listed below
Sorting:
- π Stanford CS 228 - Probabilistic Graphical Modelsβ122Updated 6 years ago
- β232Updated 2 years ago
- π Stanford CS 228 - Probabilistic Graphical Modelsβ88Updated 6 years ago
- Course notesβ708Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of TΓΌbingen, Summer Term 2023β174Updated last year
- β189Updated 2 years ago
- β812Updated 4 months ago
- β85Updated 2 years ago
- π¦ Stanford CS236 : Deep Generative Modelsβ146Updated 6 years ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)β331Updated last month
- Notebooks for "Probabilistic Machine Learning" bookβ202Updated 3 years ago
- MPhil Machine Learning and Machine Intelligence @ University of Cambridgeβ50Updated 6 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domainsβ243Updated 5 months ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learningβ180Updated 4 years ago
- β211Updated 9 months ago
- EPFL Course - Optimization for Machine Learning - CS-439β1,321Updated last month
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Universβ¦β35Updated 7 years ago
- Materials of the Nordic Probabilistic AI School 2023.β90Updated last year
- Materials of the Nordic Probabilistic AI School 2022.β181Updated 2 years ago
- "Deep Generative Modeling": Introductory Examplesβ1,224Updated last week
- Solutions to "Machine Learning: A Probabilistic Perspective"β162Updated 4 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networksβ85Updated 2 years ago
- Causal Variational AutoEncodersβ28Updated 5 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, caβ¦β174Updated last year
- β143Updated 2 months ago
- β51Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bachβ122Updated last year
- Repository for my convex optimization course.β54Updated 4 years ago
- β14Updated 5 years ago
- Interactive textbook on state-space modelsβ197Updated last year