18.336 - Fast Methods for Partial Differential and Integral Equations

the resources I use to learn computer science in my spare time

Code repository for Think Bayes.

Text and code for the second edition of Think Bayes, by Allen Downey.

Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with Python"

📚 A curated list of awesome resources: articles, books, videos, tools, podcasts about technical writing.

A curated list of publications and code about data augmentaion for graphs.

A list of awesome GNN systems.

An easy-to-use, flexible website template for labs.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Awesome Machine Unlearning (A Survey of Machine Unlearning)

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openin…

Directory of free Python ebooks

🏅 Collection of Kaggle Solutions and Ideas 🏅

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

ML algorithms in depth

this repository accompanies the book "Grokking Deep Learning"

書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです

A tutorial on how to manage a Python project

My notes of Clean Code book

An Intuitive Tutorial to Gaussian Processes Regression

Python training for business analysts and traders

🟠 A study guide to learn about Graph Neural Networks (GNNs)

📺 Discover the latest machine learning / AI courses on YouTube.

🧮 A collection of resources to learn mathematics for machine learning

🔥Highlighting the top ML papers every week.