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Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Work on designing a graph co-attention algorithm.
To build a better graph classification model
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
[ICLR 2020; IPDPS 2019] Open sourced implementation for GraphSAINT: Graph Sampling Based Inductive Learning Method.
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Code for "Text Generation from Knowledge Graphs with Graph Transformers"
This repo contains the official training and testing codes for our paper: GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.
Graph Recurrent Networks
Implementation of the EMNLP 2018 paper "Temporally Grounding Natural Sentence in Video" using PyTorch
Video Grounding and Captioning
CVPR 2019 Paper - Learning Actor Relation Graphs for Group Activity Recognition
GSDMM: Short text clustering
Implementation of our CVPR2020 paper, Graph Structured Network for Image-Text Matching
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"
PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
A toolkit for developing and comparing reinforcement learning algorithms.
Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
Implementation of "Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning" (https://arxiv.org/abs/1804.05448)
💻📖 Laws, Theories, Principles and Patterns that developers will find useful.
Code release for "HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs" at AAAI 2020.
Heterogeneous Graph Neural Network
Aspect Term Extraction with History Attention and Selective Transformation (IJCAI 2018)
TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)
Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)
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.