Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Courses, books, tutorials, paper collections and curated awesome lists.
Signals: awesome, awesome-list, tutorial, course, learning, roadmap, papers, book
1,912 results
Mathematics of Deep Learning, Courant Insititute, Spring 19
Machine Learning, Python, Deep Learning, Linux, Pandas, Matplotlib, Git...
🧠 Material for the Deep Learning Study Group
A lecture note for understanding deep learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning in Haskell.
Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!
.pdf Format Books for Machine and Deep Learning
Topics course Mathematics of Deep Learning, NYU, Spring 18
Deep Learning for Vision-based Prediction
a collection of AWESOME things about Optimal Transport in Deep Learning
【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
Scientific time series and deep learning state of the art
Deep Learning and Unsupervised Feature Learning Tutorial Solutions
No description
Recent Deep Learning papers in NLU and RL
Deep Learning Tutorials for 10 Weeks
Deep Learning with Catalyst
A curated list of trustworthy deep learning papers. Continually updating...
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
Contains files for the deep learning in genomics primer.
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2 and Pytorch.
TensorFlow for Deep Learning Book
Deep Learning Study Group
24,522 repositories in the index in total.
