awesome-deeplearning-resources and awesome-rl
These are complements: the first provides broad deep learning and deep reinforcement learning resources across papers and implementations, while the second offers a curated RL-specific collection of papers, books, code, and benchmarks that would be used together with the former for comprehensive reinforcement learning study.
Maintenance
10/25
Adoption
10/25
Maturity
16/25
Community
25/25
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
16/25
Stars: 2,993
Forks: 677
Downloads: —
Commits (30d): 0
Language: —
License: MIT
Stars: 119
Forks: 17
Downloads: —
Commits (30d): 0
Language: —
License: MIT
No Package
No Dependents
Stale 6m
No Package
No Dependents
About awesome-deeplearning-resources
endymecy/awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
About awesome-rl
dbobrenko/awesome-rl
Awesome RL: Papers, Books, Codes, Benchmarks
Scores updated daily from GitHub, PyPI, and npm data. How scores work