yizhihenpidehou

yizhihenpidehou's Stars

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.2k9095.3k8.7k

• github-linguist/linguist

  Language Savant. If your repository's language is being reported incorrectly, send us a pull request!

  Language:Ruby12.2k5222.4k4.2k

• brendangregg/perf-tools

  Performance analysis tools based on Linux perf_events (aka perf) and ftrace

  Language:Shell9.8k602601.6k

• modelscope/facechain

  FaceChain is a deep-learning toolchain for generating your Digital-Twin.

  Language:Jupyter Notebook9k88336843

• snap-stanford/ogb

  Benchmark datasets, data loaders, and evaluators for graph machine learning

  Language:Python1.9k41296399

• pypa/cibuildwheel

  🎡 Build Python wheels for all the platforms with minimal configuration.

  Language:Python1.9k24660237

• twitter-research/tgn

  TGN: Temporal Graph Networks

  Language:Python9602533189

• pythonspeed/filprofiler

  A Python memory profiler for data processing and scientific computing applications

  Language:Rust836922924

• NVIDIA/NVFlare

  NVIDIA Federated Learning Application Runtime Environment

  Language:Python62422305179

• gousiosg/github-mirror

  Scripts to mirror Github in a cloudy fashion

  Language:Ruby5582666106

• easy-graph/Easy-Graph

  EasyGraph is an open-source network analysis library designed to cover advanced network processing methods. It includes functionalities for detecting structural hole spanners, network embedding, and various classic network analysis techniques.

  Language:Python391103138

• zhuangdizhu/FedGen

  Code and data accompanying the FedGen paper

  Language:Python23722669

• qitianwu/SGFormer

  The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

  Language:Python21651618

• gzcsudo/Awesome-Hypergraph-Network

  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.

  1954122

• LechengKong/OneForAll

  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

  Language:Python17311523

• python-graphblas/python-graphblas

  Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics

  Language:Jupyter Notebook1241014214

• jianhao2016/AllSet

  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"

  Language:Python9321412

• layer6ai-labs/ProxyFL

  Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"

  Language:Python646212

• xiezhq-hermann/graphiler

  Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into efficient execution plans.

  Language:Cuda60347

• wendongbi/KT-GNN

  Implementation of the Knowledge Transferable Graph Neural Network (KTGNN), published on WWW2023

  Language:Python57543

• woc-hack/tutorial

  4764220

• FangXiuwen/Robust_FL

  Language:Python41238

• RUCAIBox/CORE

  [SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space".

  Language:Python37486

• Graph-COM/ED-HNN

  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

  Language:Python35434

• WtaoZhao/GraphGLOW

  PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks

  Language:Python35220

• Xu-Jingyi/FedCorr

  CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction

  Language:Jupyter Notebook353412

• mehdigolzadeh/BoDeGHa

  A python tool to predict the identity type in github activities (Human,Bot)

  Language:Python2541113

• mcxwx123/RecGFI

  Repository for ICSE'22 paper "Recommending Good First Issues in GitHub OSS Projects"

  Language:Python12112

• marco-mancastroppa/hypercore-decomposition

  This repository contains the data and the code associated to the paper "Hyper-cores promote localization and efficient seeding in higher-order processes" by M. Mancastroppa, I. Iacopini, G. Petri and A. Barrat, Nat. Commun. 14, 6223 (2023)

  Language:Jupyter Notebook10200

• ssc-oscar/BIMAN_bot_detection

  Code for the Bot Detection paper: https://dl.acm.org/doi/abs/10.1145/3379597.3387478

  Language:Jupyter Notebook6635