course
18.336 - Fast Methods for Partial Differential and Integral Equations
the resources I use to learn computer science in my spare time
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.
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[email protected] 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…
🏅 Collection of Kaggle Solutions and Ideas 🏅
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
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
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.