Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

Implementation for Simple Spectral Graph Convolution in ICLR 2021

MeterSphere is an End-to-End open source continuous testing platform. MeterSphere 是一站式开源持续测试平台，涵盖测试跟踪、接口测试、性能测试、团队协作等功能，全面兼容 JMeter、Postman、Swagger 等开源、主流标准。

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

Comprehensive language-agnostic guidelines on variables naming.

Paper Lists for Graph Neural Networks

official implementation for the paper "Simplifying Graph Convolutional Networks"

A machine learning library for PyTorch

Neural Collaborative Filtering

微信公众号的爬虫

An Effective Confidence-based Early Classification of Time Series

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

Pytorch implementation of Graph U-Nets (ICML19)

This a python code for calculate the overlap between predict bounding box and ground truth bounding box.

Minimal Lisp Interpreter

Expectation-Maximization algorithm with Gaussian Mixture Model

People tracker on the Internet: OSINT analysis and research tool.

Simple Reinforcement learning tutorials

DeepInf: Social Influence Prediction with Deep Learning

Nginx安装维护入门学习笔记，以及各种实例。

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

This is an automated machine learning (AutoML) package.