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Implementation of a random forest to predict dipole moments for organic molecules
Program calculating dipole moments and polarizabilities based on atomic positions
Script calculating the delta of the dipole moments / polarizabilities from the dippol code
A Variational Autoencoder paired with a Quantitative Structure Activity Relationship model to generate catalytic molecules while optimizing the binding energy value for the artificial nitrogen fixation reaction
This repository includes pKa data digitized and curated from reference books published by IUPAC.
Polymers and organic solvents solubility predictor
GPU accelerated distance matrix calculation
R package with tools for distance metrics
R6 object-oriented interface for probability distributions.
Vectorised distributions for R
Probability Distributions as S3 Objects
Methods for selecting diverse (molecular) database.
A approach for improve the diversity of molecular graph generation based on generative adversarial network
This is a personal project on predicting solubility using Neural Network
Literature of deep learning for graphs in Chemistry and Biology
Deep learning in virtual screening, a review
Deep learning implementation of quantmap method
Deep Local Analysis evaluates protein docking conformations with Locally oriented Cubes
Deep Learning Fragment Generator
DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity
Deep Learning Toolkit for Medical Image Analysis
Working with relational data models in R
Deep learning for molecules and materials book
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.