Alternatives and similar repositories for Probabilistic-Graphical-Models-Materials:

Users that are interested in Probabilistic-Graphical-Models-Materials are comparing it to the libraries listed below

• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆129Updated 7 months ago
• tallamjr / barberbook
  Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book
  ☆19Updated 3 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• niaohe / Big-Data-Optimization-Course
  Repository for my Big Data Optimization course
  ☆34Updated 4 years ago
• davidrosenberg / ttml2021fall
  DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)
  ☆45Updated last year
• huckiyang / awesome-deep-causal-learning
  A curated list of awesome deep causal learning methods since 2018
  ☆17Updated 2 years ago
• shiernee / Advanced_ML
  ☆78Updated 2 years ago
• kjytay / stanford-stats
  My notes from class
  ☆65Updated 7 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆82Updated 6 years ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆151Updated last year
• 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
• MikeS96 / bayes_statististics
  Bayesian Statistics MOOC by Coursera - Solutions in Python
  ☆31Updated last year
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆114Updated last month
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆102Updated 3 years ago
• random-matrix-learning / slides
  LaTeX source code for the slides
  ☆23Updated 3 years ago
• slinderman / stats305c
  STATS305C: Applied Statistics III (Spring, 2023)
  ☆25Updated last year
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 4 years ago
• ryantibs / statlearn-s23
  Course materials for Advanced Topics in Statistical Learning, Spring 2023
  ☆46Updated 5 months ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• StatProofBook / StatProofBookTools
  Tools for The Book of Statistical Proofs
  ☆90Updated 3 months ago
• thampiman / interpretable-ai-book
  Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)
  ☆60Updated 3 years ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆34Updated 2 years ago
• qingyuanzhao / Causal-Inference-Lectures
  ☆10Updated 2 years ago
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆119Updated last year
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆133Updated 4 years ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆229Updated 2 years ago
• christinaheinze / causality-course-ethz
  Code used in the causality course (401-4632-15) at ETH Zurich.
  ☆22Updated 5 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆46Updated 2 years ago
• ddbourgin / em
  Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial
  ☆38Updated 6 years ago
• jneuer / pearl-primer
  Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*
  ☆66Updated 5 years ago