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 74 (0 this week)

Watchers 3 (0 this week)

Forks 28

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RepositoryStats indexes 584,353 repositories, of these aksub99/MolDQN-pytorch is ranked #356,123 (39th percentile) for total stargazers, and #422,423 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #66,859/116,326.

aksub99/MolDQN-pytorch is also tagged with popular topics, for these it's ranked: python (#15,036/22011), deep-learning (#5,815/8389), machine-learning (#5,498/7926), pytorch (#4,075/5948), reinforcement-learning (#857/1309), chemistry (#117/174), drug-discovery (#77/116)

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: 2024-09-24 @ 04:55am, id: 216264204 / R_kgDODOPuDA