xiangyan93 Goto Github PK
Name: Xiang, Yan
Type: User
Company: Duke University
Location: Durham
Name: Xiang, Yan
Type: User
Company: Duke University
Location: Durham
Active Learning Molecular Simulation Platform.
Machine Learning using marginalized graph kernel for chemical molecules.
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Message Passing Neural Networks for Molecule Property Prediction
head files used in c++ projects
Descriptor computation(chemistry) and (optional) storage for machine learning
configuration files.
Codebase for Evaluating Attribution for Graph Neural Networks.
Recipe for a General, Powerful, Scalable Graph Transformer
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
result of HES
A database and machine learning model for high entropy spinel.
Molecular Dynamics Trajectory Analysis
Package for marginalized graph kernel.
Benchmark for molecular active learning.
Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
machine learning for chemical compounds
The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.
The graph-convolutional neural network for pka prediction
NequIP is a code for building E(3)-equivariant interatomic potentials
Graph Neural Network Library for PyTorch
Quantum deep field for molecule
Wrapper for RDKit's RunReactants to improve stereochemistry handling
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
Template-free prediction of organic reaction outcomes
Measures of roughness for molecular property landscapes
Python package for handling chemical reactions based on RDKit.
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.