katielink/moses
Molecular Sets (MOSES): A benchmarking platform for molecular generation models Deep generative models are rapidly becoming popular for the discovery of new molecules and materials. Such models learn on a large collection of molecular structures and produce novel compounds. In this work, we introduce Molecular Sets (MOSES), a benchmarking platform to support research on machine learning for drug discovery. MOSES implements several popular molecular generation models and provides… See the full description on the dataset page: https://huggingface.co/datasets/katielink/moses.
| Author / organization | katielink |
|---|---|
| License (as declared) | mit |
| Downloads | 193 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 23 January 2024 |
| Last updated at source | 23 January 2024 |
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- 16 Oct 2026 Description: Molecular Sets (MOSES): A benchmarking platform for molecular generation models Deep generative models are rapidly becoming popular for the discovery of new molecules and materials. Such models learn on a large collection of molecular struc → Molecular Sets (MOSES): A benchmarking platform for molecular generation models Deep generative models are rapidly becoming popular for the discovery of new molecules and materials. Such models learn on a large collection of molecular struc
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