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A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.
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5 of 6,569 resources
Aims to provide useful high-level interfaces that make ML for materials science as easy as possible.
ChemML is a machine learning and informatics program suite for the analysis, mining, and modeling of chemical and materials data. (based on Tensorflow)
Library with several compositional and structural material descriptors, along with a few pre-trained neural network models of material properties.
A Deep Learning Library for Compound and Protein Modeling DTI, Drug Property, PPI, DDI, Protein Function Prediction.
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals.