lecture-notes topic

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

SciML

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

jermwatt

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

dcetin

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

upb-lea

CPython Internals 学习笔记

rainyear

Lecture notes, projects and other materials for Course 'CS205 C/C++ Program Design' at Southern University of Science and Technology.

ShiqiYu

Category theory in the context of (functional) programming

jwbuurlage

:book: [译] fast.ai 机器学习和深度学习中文笔记

apachecn

18.S096 - Applications of Scientific Machine Learning

mitmath

:book: 台湾大学林轩田机器学习笔记

apachecn