Alternatives and similar repositories for all-of-statistics

Users that are interested in all-of-statistics are comparing it to the libraries listed below

• 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
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆293Updated 7 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆74Updated 6 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• riven314 / All-of-Statistics-Exercises
  This repo documents some of my drafted solutions to the exercises from All of Statistics by Larry Wasserman. This repo only contains solu…
  ☆18Updated 6 years ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆106Updated 7 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• Wrosinski / MachineLearning_ResourcesCompilation
  Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
  ☆93Updated 7 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆136Updated 5 years ago
• cliburn / Computational-statistics-with-Python
  Resources for STA 633 class
  ☆170Updated 8 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• jrfiedler / CASI_Python
  Python code for Computer Age Statistical Inference
  ☆51Updated 6 years ago
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆73Updated 7 years ago
• resteorts / modern-bayes
  Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
  ☆78Updated last week
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆77Updated 2 years ago
• ajtulloch / Elements-of-Statistical-Learning
  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
  ☆290Updated 11 years ago
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆220Updated 2 years ago
• dimenwarper / awesome-bayes
  List of resources for bayesian inference
  ☆157Updated 6 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆575Updated last year
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• jilmun / ISLR
  Student Solutions to An Introduction to Statistical Learning with Applications in R
  ☆207Updated 4 years ago
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 9 years ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆418Updated last month
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 4 years ago
• jayelm / hoff-bayesian-statistics
  R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
  ☆129Updated 6 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆129Updated 5 years ago
• davidrosenberg / ttml2021fall
  DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)
  ☆48Updated last year
• DataForScience / CausalInference
  ☆94Updated 3 years ago