BarclayII

hart-pytorch

Reimplementation of Hierarchical Attentive Recurrent Tracking (Kosiorek et al., 2017) in PyTorch

AIMv6

Reimplementation and extension of teaching operating system xv6, supersedes xv6-Loongson3a

dgl-itemrec

Item embedding & item-based recsys with DGL

barclayii.github.io

Quan Gan (Andy) @ NYU

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

icml18-jtnn

taxi-trips

Playing around with NYC Yellow Cabs Data

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Apotheosis

Continuation of More Creeps project, goal is to massively expand world map with new content.

benchmarking-gnns

Repository for benchmarking graph neural networks

dgl-benchmark

Benchmark scripts for DGL

dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

DrQA

Reading Wikipedia to Answer Open-Domain Questions

engrafo

Convert LaTeX documents into beautiful responsive web pages using LaTeXML.

gc-mc

GKlib

A library of various helper routines and frameworks used by many of the lab's software

hierarchical-object-detection

just for fun

LaTeXML

LaTeXML: a TeX and LaTeX to XML/HTML/ePub/MathML translator.

MahjongLab

ZJ mahjong client

METIS

METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering

minigun

Light-weight GPU kernel interface for graph operations

neural-fingerprint-test

test

notebooks

RAPIDS Sample Notebooks

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

OpenHGNN

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Papers

pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

QANet-pytorch

A PyTorch implementation of QANet.

topdown-pytorch