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Implementation of Non-local Block.
This repository contains the necessary scripts to derive off-target models through (1) A neural network framework based on Keras and Tensorflow (2)An autmomated machine learning framework based on AutoGluon
Data and code supporting "Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets" by Andrew D. Rouillard, Mark R. Hurle, and Pankaj Agarwal. https://doi.org/10.1371/journal.pcbi.1006142.
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Free and open-source application (command line and GUI) providing QSAR models predictions as well as applicability domain and accuracy assessment for physicochemical properties, environmental fate and toxicological endpoints. ==================>Download the latest compiled version from the "releases" tab and run the executable installer.
P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
A Python wrapper for PaDEL-Descriptor software
:page_facing_up: A PyTorch implementation of Paragraph Vectors (doc2vec)
scripts to find PBD structures for cancer driver proteins
pka calculations using quantum chemistry methods
Practical Cheminformatics Tutorials
Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."
Project Source Code Repository for the project "Predicting Off-Target Binding Profiles with Confidence using Conformal Prediction"
Python utilities for Cytoscape and Cytoscape.js
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Graph Convolutional Networks in PyTorch
pytorch tutorial for beginners
Simple LSTM-based word-level language model in PyTorch
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
The official sources for the RDKit library
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
2019"默克"杯逆合成反应预测大赛
Template-free prediction of organic reaction outcomes
Challenge inputs, details, and results for the SAMPL6 series of challenges
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.