Alternatives and similar repositories for stanford-stats

Users that are interested in stanford-stats are comparing it to the libraries listed below

• jayelm / hoff-bayesian-statistics
  R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
  ☆128Updated 5 years ago
• csquires / 6.S091-causality
  ☆187Updated 2 years ago
• ryantibs / statlearn-s24
  Course materials for Advanced Topics in Statistical Learning, Spring 2024
  ☆22Updated last month
• ryantibs / statlearn-s23
  Course materials for Advanced Topics in Statistical Learning, Spring 2023
  ☆47Updated last month
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆153Updated last year
• StatProofBook / StatProofBookTools
  Tools for The Book of Statistical Proofs
  ☆91Updated 6 months ago
• tengyuma / cs229m_notes
  ☆230Updated 2 years ago
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆123Updated 2 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
• christinaheinze / causality-course-ethz
  Code used in the causality course (401-4632-15) at ETH Zurich.
  ☆22Updated 6 years ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• YuhangZhou88 / ESL_Solution
  ☆278Updated 2 years ago
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆168Updated last year
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆239Updated 2 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• resteorts / modern-bayes
  Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
  ☆74Updated 2 years ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆127Updated 3 months ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 4 months ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆44Updated 6 years ago
• CausalDM / Causal-Decision-Making
  ☆34Updated last month
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆42Updated last year
• callmespring / RL-short-course
  Reinforcement Learning Short Course
  ☆72Updated last week
• nkantas / LTCC-Advanced-Computational-Methods-in-Statistics
  Advanced LTCC course in StatisticsThis course will provide an overview of Monte Carlo methods when used for problems in Statistics. After…
  ☆27Updated 2 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆265Updated last year
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆246Updated 10 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆47Updated last year
• udellgroup / orie7391
  Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization
  ☆25Updated 3 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 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
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago