Curated Learning Resources & Awesome Lists
19 repos
Comprehensive curated collections and awesome lists covering diverse technical domains including machine learning, cryptography, artificial intelligence, bioinformatics, and affective computing. These repositories serve as discovery tools and learning guides, aggregating papers, tutorials, tools, and best practices across rapidly evolving fields. Most repos consist primarily of documentation, links, and organizational frameworks rather than executable code, making them useful as starting points for exploring specific technical areas or finding canonical resources within a domain.
Jupyter Notebook · 2
HTML · 1
R · 1
Ruby · 1
SCSS · 1
awesome ·70,121
awesome-list ·69,883
machine-learning ·62,902
deep-learning ·59,237
neural-network ·57,730
deep-networks ·57,730
face-images ·57,730
deep-learning-tutorial ·57,730
recurrent-networks ·57,730
list ·8,039
