Pinned Repositories
AlphaFold3
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
awesome-ai-bioinformatics
A curated list of awesome AI and Bioinformatics.
awesome-drug-discovery
A collection of drug discovery, classification and representation learning papers with deep learning.
CGIP
A simple and effective Contrastive Graph-Image Pre-training framework for molecular representation learning (BIB 2023)
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
gan-loss-pytorch
Generative Adversarial Network Loss Summary
IEM
A Image-enhanced Molecular Graph Representation Learning Framework (IJCAI 2024)
ImageMol
ImageMol is a molecular image-based pre-training deep learning framework for computational drug discovery.
pytorch-multi-GPU-training-tutorial
VideoMol
Prediction of drug targets and properties using a molecular video-derived foundation model
HongxinXiang's Repositories
HongxinXiang/pytorch-multi-GPU-training-tutorial
HongxinXiang/ImageMol
ImageMol is a molecular image-based pre-training deep learning framework for computational drug discovery.
HongxinXiang/awesome-ai-bioinformatics
A curated list of awesome AI and Bioinformatics.
HongxinXiang/CGIP
A simple and effective Contrastive Graph-Image Pre-training framework for molecular representation learning (BIB 2023)
HongxinXiang/IEM
A Image-enhanced Molecular Graph Representation Learning Framework (IJCAI 2024)
HongxinXiang/VideoMol
Prediction of drug targets and properties using a molecular video-derived foundation model
HongxinXiang/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
HongxinXiang/gan-loss-pytorch
Generative Adversarial Network Loss Summary
HongxinXiang/AlphaFold3
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
HongxinXiang/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
HongxinXiang/awesome-vit
HongxinXiang/ddpm-segmentation
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
HongxinXiang/DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
HongxinXiang/Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy
HongxinXiang/DiGress
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
HongxinXiang/DRKG
A knowledge graph and a set of tools for drug repurposing
HongxinXiang/egnn-pytorch
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
HongxinXiang/grover
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
HongxinXiang/hongxinxiang.github.io
Personal website
HongxinXiang/ML-for-compound-potency-prediction
HongxinXiang/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
HongxinXiang/murphysec
An open source tool focused on software supply chain security. 墨菲安全专注于软件供应链安全，具备专业的软件成分分析（SCA）、漏洞检测、专业漏洞库。
HongxinXiang/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
HongxinXiang/Pocket2Mol
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
HongxinXiang/ProLIF
Interaction Fingerprints for protein-ligand complexes and more
HongxinXiang/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
HongxinXiang/Uni-Core
an efficient distributed PyTorch framework
HongxinXiang/Uni-Mol
A Universal 3D Molecular Representation Learning Framework
HongxinXiang/zejiang-unsw.github.io
This is Ze Jiang's personal homepage.
HongxinXiang/ZhuYun97