acganesh / compendium
Stanford course notes in math / CS
☆14Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for compendium
- Math & Physics Books☆121Updated 5 years ago
- Supplementary code for Introduction to Theoretical Computer Science book.☆62Updated 11 months ago
- 18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning☆141Updated 3 weeks ago
- Collection of my assignments and work in the class MATH51 at Stanford☆86Updated 9 years ago
- All of my stuff pertaining to programming contests and preparing for them☆22Updated last year
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆313Updated last month
- Advanced algorithm and data structure library in C++☆64Updated 4 years ago
- Sets of LaTex course notes taken for various Math/CS classes at McGill University: currently include MATH 240, MATH 247, MATH 323 and a r …☆37Updated 3 years ago
- A survival guide for CS PhD students at Stanford☆45Updated 6 years ago
- Cambridge Maths Tripos notes☆36Updated 4 years ago
- Solutions to Understanding Analysis by Stephen Abbott (second edition)☆61Updated 9 months ago
- Lecture notes from Cambridge maths☆63Updated 9 months ago
- Latex notes on papers, courses, ideas: Pure math and computer science.☆61Updated last year
- ☆122Updated 2 months ago
- ☆125Updated 7 years ago
- Info on resources for studying math, stats, CS, etc.☆185Updated last year
- OTIS course management system☆40Updated this week
- A collection of my solutions to various informatics olympiad problems☆46Updated last year
- A compilation of lecture notes☆15Updated 5 years ago
- A curated list of resources to help with computational research.☆20Updated 2 years ago
- A compilation of research advice.☆215Updated 3 years ago
- ☆20Updated last year
- Source code for most of my course notes☆19Updated 3 years ago
- Problem Sets for MIT 6.822 Formal Reasoning About Programs, Spring 2022☆20Updated 2 years ago
- Video descriptions and minimalist Python implementations of algorithms and data structures.☆60Updated 11 months ago
- Summaries / Cheat Sheets created at ETH Zurich BsC Computer Science & MsC Data Science☆140Updated 2 years ago
- ☆113Updated 3 months ago
- Folklore facts on probability distribution learning, testing, and whatever-ing☆254Updated last year
- Unofficial solutions to Understanding Analysis by Stephen Abbott (1st Edition)☆105Updated 9 months ago
- Princeton University COS 461: Computer Networks☆165Updated 3 years ago