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ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Early stopping for PyTorch
Repository for the BoltzGen model
Modelling human health trajectories using generative transformers
Spatial alignment of single cell transcriptomic data.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Intel lab's open sourced data science framework for accelerating digital biology
SDLG is an efficient method to accurately estimate aleatoric semantic uncertainty in LLMs