https://github.com/benstaf/chemgan-challenge
Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
https://github.com/benstaf/chemgan-challenge
artificial-intelligence chemistry deep-learning drug-discovery generative-adversarial-network machine-learning recurrent-neural-networks reinforcement-learning
Last synced: 3 months ago
JSON representation
Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
- Host: GitHub
- URL: https://github.com/benstaf/chemgan-challenge
- Owner: benstaf
- Created: 2017-08-28T10:54:18.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2023-03-24T21:55:57.000Z (over 2 years ago)
- Last Synced: 2023-10-20T18:12:18.042Z (almost 2 years ago)
- Topics: artificial-intelligence, chemistry, deep-learning, drug-discovery, generative-adversarial-network, machine-learning, recurrent-neural-networks, reinforcement-learning
- Language: Python
- Homepage: https://arxiv.org/abs/1708.08227
- Size: 239 MB
- Stars: 115
- Watchers: 9
- Forks: 55
- Open Issues: 1
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Metadata Files:
- Readme: README.md