Stars
Making Protein folding accessible to all!
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Repository for publicly available deep learning models developed in Rosetta community
Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.
toolkit for file system virtualisation of random access compressed FASTA, FAI, DICT & TWOBIT files
Neural Networks for Protein Sequence Alignment
Reformer, the efficient Transformer, in Pytorch
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Listing of papers about machine learning for proteins.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
PyTorch library of layers acting on protein representations
PyTorch library for "Neural Painters: A learned differentiable constraint for generating brushstroke paintings"
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
Experimental ground for optimizing memory of pytorch models
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Implementation of 1D and 2D fast spline interpolation algorithm (Habermann and Kindermann 2007) in Python
⚡ A Fast, Extensible Progress Bar for Python and CLI
An open-source NLP research library, built on PyTorch.
Standardized data set for machine learning of protein structure