Dachao Cui's Projects
Generation and Classification of Drug Like molecule usings Neural Networks
A high throughput automated drug discovery pipeline.
De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
old source of https://drugs.olc.tw
Predicting Drug Protein Interaction using Quasi-Visual Question Answering System
Drug Response Variational Autoencoder
A Network Integration Approach for Drug-Target Interaction Prediction
A modular framework for neural networks with Euclidean symmetry
EigenFold: Generative Protein Structure Prediction with Diffusion Models
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
AI for discovering 100% valid drug like molecules, a combination of VAE-JTNN and bayesian optimization, an optimized Python 3 Version of Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Fast and memory-efficient exact attention
Diffusion models of protein structure; trigonometry and attention are all you need!
G-BLASTN is a GPU-accelerated nucleotide alignment tool based on the widely used NCBI-BLAST.
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
Publication-quality sequence logos in R
:octocat: Git and GitHub integration for Atom
Google Research
A python module to scrape patents from 'https://patents.google.com/'.
GraphDTA: Predicting drug-target binding affinity with graph neural networks
heterogeneous BLAST (H-BLAST), a fast parallel search tool for a heterogeneous computer that couples CPUs and GPUs, to accelerate BLASTX and BLASTP – basic tools of NCBI-BLAST.
The repository contains material to run the HADDOCK antibody-antigen modelling protocol
免费带你学 django 全栈!基于 django 2.2 的个人博客,初学者绝对不能错过的 django 教程!。◕ᴗ◕。
ImageBind One Embedding Space to Bind Them All
A CNN/DCGAN Encoder ---> RNN Decoder model for captioning instagram food photos
InternLM has open-sourced a 7 billion parameter base model, a chat model tailored for practical scenarios and the training system.
A powerful obfuscator for JavaScript and Node.js
Autoencoder network for learning a continuous representation of molecular structures.