Alternatives and similar repositories for course-notes

Users that are interested in course-notes are comparing it to the libraries listed below

• chrispiech / probabilityForComputerScientists
  ☆137Updated last year
• PacktPublishing / Practical-Discrete-Mathematics
  Practical Discrete Mathematics, published by Packt
  ☆136Updated 2 weeks ago
• tonybruess / MATH51
  Collection of my assignments and work in the class MATH51 at Stanford
  ☆108Updated 10 years ago
• maxim5 / cs229-2019-summer
  All notes and materials for the CS229: Machine Learning course by Stanford University
  ☆260Updated 4 years ago
• niuers / Linear-Algebra-and-Learning-from-Data
  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
  ☆304Updated 3 years ago
• jubnoske08 / linear_algebra
  Solutions to Linear Algebra Done Right, by Sheldon Axler.
  ☆380Updated 7 months 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…
  ☆251Updated 3 years ago
• codewatson / Coding-the-Matrix
  The Coursera course Coding the Matrix: Linear Algebra through Computer Science Applications by Philip Klein
  ☆33Updated 10 years ago
• harvard-ml-courses / cs181-textbook
  ☆270Updated 6 months ago
• poloclub / awesome-grad-school
  🎓 Advice and resources for thriving and surviving graduate school
  ☆429Updated last month
• mikexcohen / LinAlgBook
  Python and MATLAB code for linear algebra textbook.
  ☆198Updated last year
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆296Updated 5 years ago
• Robertboy18 / Theoretical-Algorithms-Implementation
  CLRS(Introduction to Algorithms) - Python/C++/Java Implementation of all the major Algorithms in the CLRS Textbook as well as additional …
  ☆71Updated 2 years ago
• telmo-correa / all-of-statistics
  Self-study on Larry Wasserman's "All of Statistics"
  ☆1,197Updated 3 years ago
• maxim5 / cs224n-2020-winter
  All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
  ☆20Updated 4 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆807Updated 5 years ago
• TangJiahui / 6.036_Machine_Learning
  Repo for MIT 6.036 Machine Learning
  ☆30Updated 5 years ago
• the-utkarshjain / Speech-and-Language-Processing-3rd-Edition-Solutions
  Solutions for the book "Speech and Language Processing" (3rd ed. draft) by Dan Jurafsky and James H. Martin
  ☆28Updated 3 years ago
• numpy / numpy-tutorials
  NumPy tutorials & educational content in notebook format
  ☆614Updated 3 weeks ago
• mitx-data-science / 6.431x
  Probability - The Science of Uncertainty and Data
  ☆123Updated 6 years ago
• BirkhoffG / Explainable-ML-Papers
  A list of research papers of explainable machine learning.
  ☆44Updated 4 years ago
• Yolanda-HT / MIT_18.6501x
  Fundamentals of Statistics
  ☆45Updated 4 years ago
• AllenDowney / DSIRP
  Data Structures and Information Retrieval in Python
  ☆134Updated last year
• buruzaemon / stats-110
  ☆208Updated 3 years ago
• Harvard-IACS / 2020-CS109A
  ☆120Updated 3 years ago
• frevib / mit-cs-math-6042-fall-2010-problems
  MIT CS 6.042 opencourseware Fall 2010 problems + solutions
  ☆292Updated 8 years ago
• surajrampure / berkeley-cs-courses
  A list of links to various Berkeley CS courses and their resources.
  ☆338Updated 6 years ago
• ckaestne / seai
  CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
  ☆440Updated 2 years ago
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆271Updated last year
• ronaldseoh / cs276
  Me working on "CS276: Information Retrieval and Web Search"
  ☆37Updated 4 years ago