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72 search results found

Fancontrol.releases ⭐ 11,423

This is the release repository for Fan Control, a highly customizable fan controlling software for Windows.

Pytorch Biggraph ⭐ 3,326

Generate embeddings from large-scale graph-structured data.

Pygraphistry ⭐ 1,988

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Cugraph ⭐ 1,494

cuGraph - RAPIDS Graph Analytics Library

Gunrock ⭐ 908

Programmable CUDA/C++ GPU Graph Analytics

Graphvite ⭐ 831

GraphVite: A General and High-performance Graph Embedding System

Runtime ⭐ 742

A performant and modular runtime for TensorFlow

Pytorch_cluster ⭐ 700

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Relational Gcn ⭐ 484

Keras-based implementation of Relational Graph Convolutional Networks

Knowledgegraphembedding ⭐ 477

Libgrape Lite ⭐ 345

🍇 A C++ library for parallel graph processing (GRAPE) 🍇

Tensorflow Ocaml ⭐ 267

OCaml bindings for TensorFlow

Deep relational reasoning graph network for arbitrary shape text detection; Accepted by CVPR 2020 (Oral). http://arxiv.org/abs/2003.07493

Distribute_mnist ⭐ 206

TensorFlow分布式MNIST手写字体识别实例

🔧 Python Random Graph Generator

Graph Representation Learning ⭐ 168

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Analytics ⭐ 165

3D force-directed graph using ThreeJS / WebGL GPU accelerated

Graph App Kit ⭐ 155

Go from graph data to a secure and interactive visual graph app in 15 minutes. Batteries-included self-hosting of graph data apps with Streamlit, Graphistry, RAPIDS, and more!

Graphblast ⭐ 136

High-Performance Linear Algebra-based Graph Primitives on GPUs

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Tensorflow_snippets ⭐ 101

Gpunoiseforunity ⭐ 100

A Unity plugin for generating noise on the GPU for use in the editor.

Gpugraphtx ⭐ 73

Simple moving graph of GPU activity for the Jetson TX1 and Jetson TX2

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

Osdi21_ae ⭐ 50

Artifact for OSDI'21 GNNAdvisor

Graphattack ⭐ 45

Computational graph library for machine learning

Deep Graph-Convolutional Image Denoising

Graphbig ⭐ 43

A Comprehensive Benchmark Suite for Graph Computing

Keras Neural Graph Fingerprint ⭐ 41

Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015

Qualia2.0 ⭐ 41

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.

A Distributed Multi-GPU System for Fast Graph Processing

Out-of-GPU-Memory Graph Processing with Minimal Data Transfer

Transforming Graphs for Efficient Irregular Graph Processing on GPUs

Frog is Asynchronous Graph Processing on GPU with Hybrid Coloring Model. The fundamental idea is based on Pareto principle (or 80-20 rule) about coloring algorithms as we observed through masses of real graph coloring cases.

The Hybrid Task Graph Scheduler API

A Framework for Graph Sampling and Random Walk on GPUs.

GLAM: Graph Layout Aesthetic Metrics

Graphistry Js ⭐ 27

API for controlling and reacting to embedded visualizations

A pattern-based algorithmic autotuner for graph processing on GPUs.

Essentials ⭐ 26

❤️ CUDA/C++ GPU graph analytics simplified.

Autodiff ⭐ 26

Mgg_osdi23 ⭐ 24

Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.

Enterprise ⭐ 23

Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.

Gpugraph ⭐ 23

Simple moving graph of GPU activity for the Jetson Nano Developer Kit

Hybrid_bc ⭐ 22

Hybrid methods for Parallel Betweenness Centrality on the GPU

JF-Cut: A Parallel Graph Cut Approach for Large Scale Image and Video

G3: A Programmable GNN Training System on GPU

Highload Stats ⭐ 17

Statistics server in real-time graphs and histroy.

Gqa_single_hop_baseline ⭐ 14

A simple but well-performing "single-hop" visual attention model for the GQA dataset

Hpc Paper Notes ⭐ 13

My notes on various HPC papers.

Universal General Propose A* for a GPU platform

Light-weight GPU kernel interface for graph operations

Csrcolor ⭐ 12

Efficient and High-quality Graph Coloring on the GPU

Power_benchmarks ⭐ 12

Profiling power consumption of a neuromorphic keyword spotter.

Bfs Cuda ⭐ 12

Implementation of breadth first search on GPU with CUDA Driver API.

High-performance graph processing on hybrid CPU-GPU platforms by using dynamic load-balancing

Dynamicppr ⭐ 10

The implementation of the paper "Parallel Personalized PageRank on Dynamic Graphs"

Primitivesandgraphprocessing Gpu ⭐ 9

Survey of Primitives and Graph Processing on GPUs (Until 2016) - by Yulin Che (https://github.com/CheYulin)

A GPU (CUDA) implementation, with a python interface, of the approximated KNN graph computation with Random Sample Forest algorithm KNN.

Triangle counting in large graphs using SIMT parallel set intersection on GPU

Grafight is a Graph DB where searches are powered by GPUS

Virtualsoc ⭐ 8

Dynamic Social Network Simulation Data with Ground Truth Labels and Features

Primary repo at https://gitlab.com/yhtang/graphdot

DuMato: An Efficient Warp-Centric Subgraph Enumeration System for GPU

Graphapplications ⭐ 7

Graph Applications in CUDA

The main goal of StDoG is to provide a package which can be used to study dynamical and structural properties (like spectra) on graphs with a large number of vertices.

Sep Graph ⭐ 6

This is the repo of "SEP-Graph: Finding Shortest Execution Paths for Graph Processing under a Hybrid Framework on GPU"

Falcon A Graph Manipulation Language For Heterogeneous Systems ⭐ 5

A graph manipulation language for CPU and GPU

Multi-GPU Betweenness Centrality

Weighted_graph_python_gpu ⭐ 5

A python project to create a weighted graph on gpu using knn. First the neighbors are selected using the geometrical distance then the weights are imparted using the texture on the points. This is project is particularly relevant for graph creation on massive point clouds.

Cavs: An Efficient Runtime System for Dynamic Neural Networks

A library for knowledge graph embedding models

Gpujs Real Renderer ⭐ 5

A Real Time 2D Graphical Rendering Engine Made With GPU.js

A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.

High-Performance Graph Processing on Heterogenous CPU-GPU Platforms by Dynamic Workload Balancing

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