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A C++ framework for MDPs and POMDPs with Python bindings
Atomistic Line Graph Neural Network
Open source code for AlphaFold.
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
AMPtorch: Atomistic Machine Learning Package (AMP) - PyTorch
Bayesian optimization in PyTorch
Brownian Dynamics of Biological Molecules
AAAI 2020: Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-like Molecules
Collective variables module for molecular simulation and analysis programs
QSP model of immune response to COVID19
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
Wenda Qiu's course porject for CS 598 JP: Fewshot Drug-drug interaction prediction
Modified from MilesZhao/CubicGAN
Differentiable convex optimization layers
Material relating to data-general-text-code-web
deep learning for image processing including classification and object-detection etc.
The code for paper "Synthetic Promoter Design in Escherichia coli based on Deep Genera-tive Network"
A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Ab initio MD package with enhanced self organized increment high dimensional neural network
TensorFlow examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Tooling for GANs in TensorFlow
GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
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.