hongxinxiang Goto Github PK
Type: User
Bio: PhD student in AI for Science.
Type: User
Bio: PhD student in AI for Science.
A curated list of awesome AI and Bioinformatics.
A collection of drug discovery, classification and representation learning papers with deep learning.
Reading list for research topics in multimodal machine learning
A simple and effective Contrastive Graph-Image Pre-training framework for molecular representation learning (BIB)
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Diffusion model papers, survey, and taxonomy
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
A knowledge graph and a set of tools for drug repurposing
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot learning research in the domain of molecules and graph-structured data.
Generative Adversarial Network Loss Summary
Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
Personal website
ImageMol is a molecular image-based pre-training deep learning framework for computational drug discovery.
Predicting drug targets using the NIH LINCS project's L1000 dataset.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
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。
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
PyTorch implementations of Generative Adversarial Networks.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
A powerful and flexible machine learning platform for drug discovery
Research Framework for easy and efficient training of GANs based on Pytorch
an efficient distributed PyTorch framework
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.