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Dataset · Hugging Face

katielink/moleculenet-benchmark

MoleculeNet Benchmark (website) MoleculeNet is a benchmark specially designed for testing machine learning methods of molecular properties. As we aim to facilitate the development of molecular machine learning method, this work curates a number of dataset collections, creates a suite of software that implements many known featurizations and previously proposed algorithms. All methods and datasets are integrated as parts of the open source DeepChem package(MIT license).… See the full description on the dataset page: https://huggingface.co/datasets/katielink/moleculenet-benchmark.

Author / organizationkatielink
License (as declared)apache-2.0
Downloads487 (as reported by Hugging Face)
Likes0
Created28 August 2023
Last updated at source28 August 2023
biologychemistry
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  • 16 Oct 2026 Description: MoleculeNet Benchmark (website) MoleculeNet is a benchmark specially designed for testing machine learning methods of molecular properties. As we aim to facilitate the development of molecular machine learning method, this work curates a nu → MoleculeNet Benchmark (website) MoleculeNet is a benchmark specially designed for testing machine learning methods of molecular properties. As we aim to facilitate the development of molecular machine learning method, this work curates a nu

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.