Alternatives and similar repositories for CS228_PGM

Users that are interested in CS228_PGM are comparing it to the libraries listed below

• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• tengyuma / cs229m_notes
  ☆230Updated 2 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆86Updated 6 years ago
• shiernee / Advanced_ML
  ☆81Updated 2 years ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆165Updated last year
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆203Updated 3 years ago
• deepgenerativemodels / notes
  Course notes
  ☆699Updated last year
• csquires / 6.S091-causality
  ☆187Updated 2 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆177Updated 4 years ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆243Updated 4 months ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 2 years ago
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆48Updated 3 years ago
• kuleshov-group / dgm-resources
  ☆50Updated last year
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 4 years ago
• AstraZeneca / awesome-shapley-value
  Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
  ☆152Updated 2 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 5 years ago
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆141Updated 6 years ago
• leehanchung / cs182
  Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
  ☆85Updated 2 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆173Updated last year
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆210Updated last year
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆224Updated 4 years ago
• rll / deepul
  ☆808Updated 3 months ago
• acmi-lab / cmu-10717-the-art-of-the-paper
  Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
  ☆288Updated 3 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆313Updated this week
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• drewwilimitis / Manifold-Learning
  Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…
  ☆233Updated 5 years ago
• coallaoh / Principles
  ☆206Updated 8 months ago
• baegwangbin / MLMI
  MPhil Machine Learning and Machine Intelligence @ University of Cambridge
  ☆48Updated 6 years ago
• talwarabhimanyu / my-solutions-The-Elements-of-Statistical-Learning
  My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
  ☆90Updated 6 years ago