Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
Repository for benchmarking graph neural networks
A common bricks library for building scalable and portable distributed machine learning.
RAPIDS Sample Notebooks
METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering
A library of various helper routines and frameworks used by many of the lab's software
Benchmark datasets, data loaders, and evaluators for graph machine learning
Benchmark scripts for DGL
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Light-weight GPU kernel interface for graph operations
A TensorFlow implementation of the Differentiable Neural Computer.
Convert LaTeX documents into beautiful responsive web pages using LaTeXML.
LaTeXML: a TeX and LaTeX to XML/HTML/ePub/MathML translator.
A PyTorch implementation of QANet.
Reading Wikipedia to Answer Open-Domain Questions
just for fun
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow