truongchien Goto Github PK
Name: Chien Truong-Quoc
Type: User
Company: Seoul National University
Name: Chien Truong-Quoc
Type: User
Company: Seoul National University
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
Graph Convolutional Networks (GCNs)
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Continuous Diffusion Graph Neural Network
Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
Build Graph Nets in Tensorflow
Graph Neural Solver applied to power flow (non-linear equations)
The official implementation of Graph Normalization
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Grid-based approximation of partial differential equations in Julia
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
IPython Interactive Computing and Visualization Cookbook – Second Edition, published by Packt
Implementation of transformations.py that is JAX compatible
Rigid transforms + Lie groups, in JAX!
A Graph Neural Network Library in Jax
Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"
Code Repository for Liquid Time-Constant Networks (LTCs)
LSTM and GRU in PyTorch
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Listing of papers about machine learning for proteins.
PyTorch Implementation of MAML (Model-Agnostic Meta-Learning algorithm)
matrix square root and its gradient
PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
pytorch implementation of Optimization as a Model for Few-shot Learning
Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Implementation of OpenAI Reptile algorithm
MeshGraphNets (MGN)
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.