Alternatives and similar repositories for all-of-statistics

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

• ilmoi / MML-Book
  Code / solutions for Mathematics for Machine Learning (MML Book)
  ☆1,126Updated 2 years ago
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆891Updated 3 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆332Updated 11 months ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆276Updated 4 years ago
• onmee / ISLR-Answers
  Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
  ☆177Updated 2 years ago
• YuhangZhou88 / ESL_Solution
  ☆275Updated 2 years ago
• tengyuma / cs229m_notes
  ☆229Updated 2 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆133Updated 9 months ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆540Updated 3 years ago
• hoangnguyen7699 / StatisticsForApplication_solution
  ☆62Updated 2 years ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,469Updated 2 months ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,623Updated 9 months ago
• harvard-ml-courses / cs181-textbook
  ☆143Updated 3 months ago
• intro-stat-learning / ISLP_labs
  Up-to-date version of labs for ISLP
  ☆993Updated 2 months ago
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆335Updated 4 years ago
• maxim5 / cs229-2019-summer
  All notes and materials for the CS229: Machine Learning course by Stanford University
  ☆228Updated 3 years ago
• probml / pml-book
  "Probabilistic Machine Learning" - a book series by Kevin Murphy
  ☆5,257Updated 2 months ago
• Harvard-IACS / 2021-CS109A
  ☆138Updated 3 years ago
• storopoli / Bayesian-Statistics
  Bayesian statistics graduate course
  ☆354Updated 7 months 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…
  ☆414Updated 3 years ago
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆539Updated 4 years ago
• fifthist / Introduction-To-Probability-Blitzstein-Solutions
  Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.
  ☆108Updated 3 weeks ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆199Updated 2 years ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆255Updated last year
• huyfm / cs229-solution
  CS229 Solution (summer 2019, 2020).
  ☆16Updated last year
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,282Updated 2 weeks ago
• maxwass / all_of_statistics_solns
  Some worked exercises from Larry Wasserman's "All of Statistics"
  ☆41Updated 5 years ago
• niuers / Learning-From-Data-A-Short-Course
  Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-T…
  ☆237Updated 2 years ago
• Phutoast / UCL-CSML-Notes
  My lecture notes during times at UCL.
  ☆31Updated 3 years ago