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Tutorials for Machine Learning on Graphs
My small cheatsheets for data science, ML, computer science and more.
💪 A toolkit to help search for papers from aclanthology, arXiv and dblp.
A collection of learning resources for curious software engineers
Understanding Deep Learning - Simon J.D. Prince
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
Repository for the code assignment of the Deep Learning 1 course, Fall 2022 edition
A curated list of awesome self-supervised methods
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
learning biology syllabus, geared for machine learning folks
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总
Classical equations and diagrams in machine learning
Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
Reading list for research topics in multimodal machine learning
Repository for benchmarking graph neural networks (JMLR 2023)