Dachao Cui's Projects
A sequence alignment tool
cuGraph - RAPIDS Graph Analytics Library
Config files for my GitHub profile.
Dash demo app for drug discovery
Denoising Diffusion Implicit Models
The repository contains the network and the related scripts for encoder-decoder based Chemical Image Recognition
DECIMER 1.0: Deep Learning for Chemical Image Recognition using Transformers
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.
A deep learning package for many-body potential energy representation and molecular dynamics
This repository contains implementations and illustrative code to accompany DeepMind publications
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A powerful deep learning (DL) tool and the trained models for the phage gene and protein identification with convolutional neural network (CNN).
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
The Potential Drug-drug Interaction and Potential Drug-drug Interaction Evidence Ontology (DIDEO)
āš» Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)
š¤ Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Diffusion-LM
Diffusion model papers, survey, and taxonomy
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Django book
Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding
Python package is for paper 'Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data'
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network