Popular GitHub Repositories for Protein Sequences

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

List of papers about Proteins Design using Deep Learning

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

A set of tools to visualize and interact with sequences of 3D data.

Implementation of the model from "ProGen: Language Modeling for Protein Generation"

Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch

Generation of protein sequences and evolutionary alignments via discrete diffusion models

Long-RL: Scaling RL to Long Sequences

Diffusion models of protein structure; trigonometry and attention are all you need!

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

Colab Notebooks covering deep learning tools for biomolecular structure prediction and design

? Generative modeling of regulatory DNA sequences with diffusion probabilistic models ?

Efficient LLM Inference over Long Sequences

The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory"

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

Scientific Large Language Models: A Survey on Biological & Chemical Domains

GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)