A generative model for programmable protein design

A list of manuscripts/tools using diffusion on biological enttieis

Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutations

Code for holographic machine learning of proteins

AI-powered ab initio biomolecular dynamics simulation

interactive & hardware agnostic SDK for lab automation

Code for running RFdiffusion

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

De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds

Code for the ProteinMPNN paper

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

Making large AI models cheaper, faster and more accessible

Implementation for SE(3) diffusion model with application to protein backbone generation

Rifdock Library for Conformational Search

Dynamic, adaptive sampling during nanopore sequencing

Official Implementation of Rectified Flow (ICLR2023 Spotlight)

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

用文本编辑器剪视频

pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)

List of papers about Proteins Design using Deep Learning

Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch

Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.

GPrimer: a fast GPU-based pipeline for primerdesign for qPCR experiments