aksub99 / MolDQN-pytorch

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Date Created 2019-10-19 (5 years ago)

Commits 27 (last one 3 years ago)

Stargazers 75 (0 this week)

Watchers 3 (0 this week)

Forks 28

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RepositoryStats indexes 595,856 repositories, of these aksub99/MolDQN-pytorch is ranked #357,705 (40th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #67,583/119,431.

aksub99/MolDQN-pytorch is also tagged with popular topics, for these it's ranked: python (#15,115/22324), deep-learning (#5,849/8512), machine-learning (#5,537/8063), pytorch (#4,090/6025), reinforcement-learning (#863/1337), chemistry (#117/179), drug-discovery (#79/120)

Other Information

aksub99/MolDQN-pytorch has 3 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 5 closed issues.

All Topics

python pytorch molecule chemistry pytorch-rl dqn-pytorch deep-learning drug-discovery inverse-design machine-learning materials-science materials-informatics pytorch-implementation reinforcement-learning

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updated: 2024-12-03 @ 07:13am, id: 216264204 / R_kgDODOPuDA