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

Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.

A reading paper list which is mainted daily

[ICLR2024] HEAL: An Extensible Framework for Open Heterogeneous Collaborative Perception ➡️ All You Need for Multi-Modality Collaborative Perception!

A Modeling and Verification Platform for SoCs using ILAs

Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.

A simple utility for executing multiple sequential or multi-threaded applications in a single multi-node batch job

Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )

heterogenous Map over a GADT

Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams

This repository contains software for multi-agent simulation model of mixed traffic flow of connected (HVs) and automated vehicles (AVs) in Python using pygame, matplotlib, numpy, scipy and seaborn libraries. The software is capable of simulating many different cases of traffic flow and creates data files and figures for the purpose of analysis.

A tool for integrating PHP services to Spring-Cloud platform

A powerful heterogeneous tensor and heterogeneous range library for C++23.

PyCatKin is a class-based Python toolset for catalysis kinetics calculations. It includes modules for energy span analysis and mean-field microkinetic modelling with ideal reactor models.

Task Scheduling For Heterogeneous Computing System

PLEASE USE THE NEW REPO https://github.com/salehjg/DeepPoint-V2-FPGA . The deprecated in-order-queue-based repository for "DGCNN on FPGA: Acceleration of The Point CloudClassifier Using FPGAs".

POP Memory Model in Lean

kl is a language for easy and high performance compute kernel and graphics shader programming

This repository contains CHStone benchmark codes which have been annotated and tuned by Orio tool to test the speed up of execution.

Real-time on-site Heterogeneous-computing object speed measuring using constant-rate sequential image.