Popular GitHub Repositories for Protein Flexibility

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Flax is a neural network library for JAX that is designed for flexibility.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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

A lightweight task engine for building stateful AI agents that prioritizes simplicity and flexibility.

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

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

High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.

A lightweight task engine for building stateful AI agents that prioritizes simplicity and flexibility.

Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.

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

Generation of protein sequences and evolutionary alignments via discrete diffusion models

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

An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability

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

Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models

An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

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