# benstaf/ChemGAN-challenge

<https://repo.masters-masters.com/en/repos/benstaf/ChemGAN-challenge>

[Home](https://repo.masters-masters.com/en) › [benstaf](https://repo.masters-masters.com/en/owners/benstaf) › [ChemGAN-challenge](https://repo.masters-masters.com/en/repos/benstaf/ChemGAN-challenge)

benstaf/ChemGAN-challenge has 115 stars on GitHub. Its RepoMasters card: Prototype tier. Code for the paper: ChemGAN challenge for drug discovery: can AI…

| Field | Value |
| --- | --- |
| Owner | [benstaf](https://repo.masters-masters.com/en/owners/benstaf) |
| Stars | 115 |
| Forks | 54 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | artificial-intelligence, generative-adversarial-network, reinforcement-learning, drug-discovery, recurrent-neural-networks, deep-learning, machine-learning, chemistry |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [benstaf/ChemGAN-challenge](https://github.com/benstaf/ChemGAN-challenge) |

## Repository

Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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