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awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

dgl

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

directed-graphlet-sampler

Directed Graphlet Statistics Estimator

eips

The Ethereum Improvement Proposal repository

ethereum-etl

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

ethereum-ponzi

Scripts and public dataset for "Dissecting Ponzi schemes in Ethereum"

ethereum_book

精通以太坊 （中文版）

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gnn-comparison

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

grakel

A scikit-learn compatible library for graph kernels

gspan

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

honeybadger

A tool that detects honeypots in Ethereum smart contracts :honey_pot: (USENIX 2019).

ios-

k-gnn

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

kdd-2019-hands-on

DGL tutorial in KDD 2019

latex

latex入门教程

learn_python3_spider

python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式爬虫，爬虫项目实战实例等

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leveraging-neo4j-streams

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

metal-tutorial

Metal入门资料，涉及到iOS平台，OSX平台，TvOS平台，其中，OSX平台可以直接运行，iOS平台，TvOS平台都需要使用真机设备测试运行。下面是相关博客，欢迎拍砖

minerva

Minerva is a Drill storage plugin for IPFS

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

model_log

Model Log 是一款基于 Python3 的轻量级机器学习(Machine Learning)、深度学习(Deep Learning)模型训练评估指标可视化工具，可以记录模型训练过程当中的超参数、Loss、Accuracy、Precision、F1值等，并以曲线图的形式进行展现对比，轻松三步即可实现。

netcomp

Comparative metrics for dynamic networks in Python

numpy-ml

Machine learning, in numpy

pgd

A Parallel Graphlet Decomposition Library for Large Graphs

proxypool

An Efficient ProxyPool with Getter, Tester and Server

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch