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.
Filters
Health
Domain
Language
License
Source
Type(1)
869 of 7,050 resources
Showing 851–869
Dr-BERT/DrBERT-4GB
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.
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.
# Model Description This model is a fine-tuned version of BioBERT on the NCBI disease dataset for named entity recognition (NER) of diseases. It can be used to extract disease mentions from unstructured text in the medical and biological domains.
samkenxstream/HierarchyMartialsAI
by samkenxstreamtinnerofkors/kors
by tinnerofkorsmicrosoft/BioGPT-Large
by microsoftPre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domain, i.e.
openskies2009/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.
TencentMedicalNet/MedicalNet-Resnet50
by TencentMedicalNet# MedicalNet This repository contains a Pytorch implementation of Med3D: Transfer Learning for 3D Medical Image Analysis. Many studies have shown that the performance on deep learning is significantly affected by volume of training data.
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.