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Name: Chien Truong-Quoc
Type: User
Company: Seoul National University
Name: Chien Truong-Quoc
Type: User
Company: Seoul National University
DGSML is the first method of semi-supervised meta learning that employs two novel loss functions to learn a predictive domain-invariant representation by taking both labeled and unlabeled samples from different input domains
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
Genetic algorithm for optimizing DNA origami sequences
Differentiable Physics-informed Graph Networks
Distributional Sliced-Wasserstein distance code
repository and website for tutorials on 3d Euclidean equivariant neural networks
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention
A 3D-equivariant neural network for protein structure accuracy estimation
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Reproduces the results of the paper "Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations".
Finite element toolbox for Julia
Fractional order optimizer for machine learning
Data and code for graph neural network accelerated molecular dynamics
Transformers are Graph Neural Networks!
Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021
A Graph Neural Network project on HIV data
Must-read papers on graph neural networks (GNN)
Google Research
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.