MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

A curated list of awesome mathematics resources

Bug-tracking for Jeff's algorithms book, notes, etc.

Lecture notes, projects and other materials for Course 'CS219 Advanced Programming' at Southern University of Science and Technology.

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

훌륭한 Swift 세션 동영상(강좌), 한글 자막있는 혹은 한국어 강의 정보 링크 모음 (Awesome Swift Korean lecture information)

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

Digital Signal Processing - Theory and Computational Examples

Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

Learn to use WebGPU for native graphic applications in C++

Category theory in the context of (functional) programming

:book: [译] fast.ai 机器学习和深度学习中文笔记

📚 A place for all lecture scripts, projects etc. for the "C++ for yourself" course

18.S096 - Applications of Scientific Machine Learning

:book: 台湾大学林轩田机器学习笔记

Commented LaTeX templates for CVs, homework, lecture notes, presentations, research papers, and essays, with commands for math/statistics symbols

Lecture notes on univalent foundations of mathematics with Agda

Notes and cheatsheets from NUS modules taken as part of the Computer Science curriculum.

:book:【停】米斯特白帽培训讲义

(한국어) 텍스트 마이닝을 위한 공부거리들

Lecture notes for Chris Peikert's graduate-level Theory of Cryptography course

Summaries / Cheat Sheets created at ETH Zurich BsC Computer Science & MsC Data Science

The accompanying code of the Learn WebGPU C++ programming guide

Конспекты по разным предметам первого потока ИСy27 университета ИТМО

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Tutorial on Symbolic Execution. Hands-on session is based on the angr framework.

Course Website on Macroeconomic Analysis with Machine Learning and Big Data

Comprehensive open source book on basic topology, smooth manifolds, differential geometry, Lie theory, homological algebra, and index theory.

CPython Internals 学习笔记

Lattices in Cryptography (University of Michigan)