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 78 (1 this week)

Watchers 2 (0 this week)

Forks 26

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RepositoryStats indexes 630,443 repositories, of these aksub99/MolDQN-pytorch is ranked #362,632 (42nd percentile) for total stargazers, and #480,613 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #69,507/128,655.

aksub99/MolDQN-pytorch is also tagged with popular topics, for these it's ranked: python (#15,267/23363), deep-learning (#5,879/8798), machine-learning (#5,597/8384), pytorch (#4,117/6209), reinforcement-learning (#883/1445), chemistry (#120/187), drug-discovery (#80/128)

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: 2025-03-22 @ 12:35pm, id: 216264204 / R_kgDODOPuDA