Find open-source science resources
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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313 of 5,940 resources
Showing 301–313
Dr-BERT/DrBERT-7GB
by Dr-BERTIn recent years, pre-trained language models (PLMs) achieve the best performance on a wide range of natural language processing (NLP) tasks. While the first models were trained on general domain data, specialized ones have emerged to more effectively treat specific domains.
tinnerofkors/kors
by tinnerofkorsopenskies2009/PeternewModelhere
by openskies2009K8778/universe
by K8778SamKenX-Hub-Community/SamKenXAI-engine-compiting
by SamKenX-Hub-CommunityThis modelcard aims to be a base template for new models. It has been generated using this raw template.
csimonmeunier/test-model
by csimonmeuniercosmobaby/ka
by cosmobabySevenlee/kkk
by Sevenlee# ChemGPT 1.2B ChemGPT is based on the GPT-Neo model and was introduced in the paper Neural Scaling of Deep Chemical Models.
# ChemGPT 19M ChemGPT is based on the GPT-Neo model and was introduced in the paper Neural Scaling of Deep Chemical Models.
# ChemGPT 4.7M ChemGPT is based on the GPT-Neo model and was introduced in the paper Neural Scaling of Deep Chemical Models.
Deep learning for chemistry and materials science remains a novel field with lots of potiential. However, the popularity of transfer learning based methods in areas such as NLP and computer vision have not yet been effectively developed in computational chemistry + machine learning.