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

[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. )

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

heterogenous Map over a GADT

[ICML 2024] Serving LLMs on heterogeneous decentralized clusters.

🤠 Heterogeneous 🤓 Graph 🤡 Learning 🤖 Causal 🤢 Recourse 🥶 MSME 💒 Credit 🚂 Risk is a next ✈ generation 🚁 AI ⚽ framework 🛩 designed to 🚀assess and 🛸mitigate 🎳 credit 🚟 risk Micro 🚃 Small 🚞 Medium 🚎 Enterprises 🚢 using 🚅 heterogeneous 🚌 graph 🚈 neural 🏯 networks 🏤 combined 🏠 with causal 🏨 inference 🕍 recourse 🏟 learning 🏛

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.

Official implementation of FedGAT: Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction (https://arxiv.org/abs/2502.04521)

A tool for integrating PHP services to Spring-Cloud platform

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

This repository contains code for the paper "Multi-agent reinforcement learning with action masking for uav-enabled mobile communications" which has been accepted for publishing in IEEE Transactions on Machine Learning in Communications and Networking.

POP Memory Model in Lean

Task Scheduling For Heterogeneous Computing System

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.

CryoDECO: Deconstructing Compositional and Conformational Heterogeneity in Cryo-EM with Foundation Model Priors.

An Annotated Heterogeneous Ultrasound Database