421-WWQ

421-WWQ's Stars

• tkipf/gae

  Implementation of Graph Auto-Encoders in TensorFlow

  Language:Python1.6k351

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.1k2k

• limaosen0/Variational-Graph-Auto-Encoders

  This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.

  Language:Python7423

• DaehanKim/vgae_pytorch

  This repository implements variational graph auto encoder by Thomas Kipf.

  Language:Python38372

• d-ailin/GDN

  Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

  Language:Python473141

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.3k3.8k

• camaramm/tennessee-eastman-profBraatz

  The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).

  Language:Fortran12556

• FelisCatus/SwitchyOmega

  Manage and switch between multiple proxies quickly & easily.

  Language:CoffeeScript21.2k3.2k

• rte-france/Grid2Op

  Grid2Op a testbed platform to model sequential decision making in power systems.

  Language:Python285116

• PaddlePaddle/PARL

  A high-performance distributed training framework for Reinforcement Learning

  Language:Python3.3k820

• 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++26.1k8.7k

• FIBLAB/MoveSim

  Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility

  Language:Python427

• datawhalechina/leedl-tutorial

  《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

  Language:Jupyter Notebook13.3k2.9k

• davejscott/Canonical-Variate-Analysis-CVA

  Simple Canonical Variate Analysis (CVA) utilizing Python

  Language:Jupyter Notebook2

• nsoojin/coursera-ml-py

  Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

  Language:Python1.4k480

• bishopAL/PneumaticSystem

  Language:Makefile31

• bishopAL/nuaa_gecko-robot

  pwm config

  Language:C2

• bishopAL/GeRot

  Language:Makefile112

• makeyourownneuralnetwork/makeyourownneuralnetwork

  Code for the Make Your Own Neural Network book

  Language:Jupyter Notebook2.3k1.5k

• liusenlin/Robot-vision-based-and-signposts-indoor-navigation-system

  基于视觉和路标的机器人室内导航定位系统

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