Song-xx

Song-xx's Stars

• alibaba/graphlearn-for-pytorch

  A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

  Language:Python11131

• albertyang33/TADW

  code for IJCAI2015 paper "Network Representation Learning with Rich Text Information"

  Language:Matlab13250

• tigergraph/gsql-graph-algorithms

  GSQL Graph Algorithms

  Language:C++19070

• Firyuza/GraphSAGE

  Graph Neural Networks

  Language:Python677

• THUDM/CogDL

  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

  Language:Python1.7k314

• weslynn/AlphaTree-graphic-deep-neural-network

  AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

  2.7k589

• alibaba/GraphScope

  🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

  Language:C++3.2k436

• softwarearchitect817/Efficient-Geometry-aware-3D

  Efficient Geometry-aware 3D Generative Adversarial Networks (EG3D)

  Language:Python16

• emartinezs44/SparkGCN

  GCN implementation on top of Apache Spark

  Language:Scala144

• Angel-ML/angel

  A Flexible and Powerful Parameter Server for large-scale machine learning

  Language:Java6.7k1.6k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.1k15.8k

• pjreddie/darknet

  Convolutional Neural Networks

  Language:C25.7k21.3k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python28.9k9.4k

• goxdve/BiLSTM-CRF

  A Pytorch implementation for NER using BiLSTM-CRF

  Language:Python13129

• FederatedAI/FATE

  An Industrial Grade Federated Learning Framework

  Language:Python5.6k1.5k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.6k12.7k

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k12.9k

• huntingzhu/webcrawler

  Web crawler to download pictures from zhihu.com

  Language:Python9245

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.4k1.4k

• AlanConstantine/ExponentialSmoothing

  python实现指数平滑算法

  Language:Python710

• Song-xx/LeetCode

  :pencil: Python / C++ 11 Solutions of All LeetCode Questions

  Language:Python1

• Song-xx/BayesianNetwork

  Bayesian Network Modeling and Analysis

  Language:HTML1

• paulgovan/BayesianNetwork

  Bayesian Network Modeling and Analysis

  Language:HTML11539

• kingfengji/gcForest

  This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

  Language:Python1.3k427

• lferry007/LargeVis

  Language:C++704168

• davidsandberg/facenet

  Face recognition using Tensorflow

  Language:Python13.7k4.8k