A high-throughput and memory-efficient inference and serving engine for LLMs

ParMETIS - Parallel Graph Partitioning and Fill-reducing Matrix Ordering

The Python programming language

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

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

Scalable Graph Neural Networks with Deep Graph Library

Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)

Light-weight GPU kernel interface for graph operations

Docker container for running PyTorch scripts to train and host PyTorch models on SageMaker

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

Benchmark scripts on SageMaker for various frameworks

This support code is used for making the MXNet framework run on Amazon SageMaker.

Benchmark scripts for DGL

gmonitor is a GPU monitor (Nvidia only at the moment)

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Face Recognition Project on MXNet

A Python wrapper for the tesseract-ocr API

A graph-based distributed in-memory store that leverages efficient graph exploration to provide highly concurrent and low-latency queries over big linked data

Keras implementation of Realtime Multi-Person Pose Estimation

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.

The C based gRPC (C++, Node.js, Python, Ruby, Objective-C, PHP, C#)