lixusign

lixusign's Stars

• kyegomez/RT-2

  Democratization of RT-2 "RT-2: New model translates vision and language into action"

  Language:Python35247

• google-deepmind/open_x_embodiment

  Language:Jupyter Notebook77655

• SJTU-IPADS/PowerInfer

  High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

  Language:C++7.9k402

• open-mmlab/mmengine

  OpenMMLab Foundational Library for Training Deep Learning Models

  Language:Python1.1k340

• easydiffusion/easydiffusion

  Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.

  Language:JavaScript9.5k778

• TommyZihao/Awesome

  Github Trending榜高赞与趣味项目速览。主理人：同济子豪兄

  37642

• ruanyf/weekly

  科技爱好者周刊，每周五发布

  45.2k2.8k

• rapidsai/cugraph

  cuGraph - RAPIDS Graph Analytics Library

  Language:Cuda1.7k298

• quiver-team/torch-quiver

  PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

  Language:Python28837

• PASSIONLab/CAGNET

  Language:Python4217

• ydwu4/pyHGT

  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

  1

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.8k7.8k

• alibaba/Sentinel

  A powerful flow control component enabling reliability, resilience and monitoring for microservices. (面向云原生微服务的高可用流控防护组件)

  Language:Java22.3k8k

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.8k280

• uclasystem/dorylus

  Dorylus: Affordable, Scalable, and Accurate GNN Training

  Language:C++7712

• GraphSAINT/GraphSAINT

  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

  Language:Python46888

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.9k3k

• lqfarmer/GraphTR

  Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation（CIKM20）

  Language:Python7013

• amazon-science/FeatGraph

  Language:Python7110

• karakozov/gpudma

  GPUDirect example

  Language:C549

• Qihoo360/tensornet

  Language:C++31572

• KarypisLab/ParMETIS

  ParMETIS - Parallel Graph Partitioning and Fill-reducing Matrix Ordering

  Language:C10642

• zheng-da/dgl

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

  Language:Python42

• dglai/minigun

  Light-weight GPU kernel interface for graph operations

  Language:CMake157

• classicsong/dgl

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

  Language:Python93

• bytedance/byteps

  A high performance and generic framework for distributed DNN training

  Language:Python3.6k489

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.7k825

• danielegrattarola/spektral

  Graph Neural Networks with Keras and Tensorflow 2.

  Language:Python2.4k334

• SU-HPC/GOSH

  An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

  Language:Cuda205

• hgyhungry/ge-spmm

  Language:Cuda9610