543 Open source projects that are alternatives of or similar to Graph Adversarial Learning Literature

An undergraduate course on data mining.

A dataset with political datasets

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

Job data mining repo for lagou.com

Research papers on ML for security

A Curated List of Must-read Papers on Recommender System.

Map Reduce Implementation of Connected Component on Apache Spark

Survey made easy (Android/iOS/Windows app)

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

Graph data structure in JavaScript

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

It contain various script on web crawling/ data mining of social web(RSS,facebook,twitter,Linkedin)

Clip coupons and earn points at Kroger-owned grocery chains

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

Chain simple surveys into longer runs to build complex studies. Use R to generate pretty feedback and complex designs.

A Survey on Text-to-Image Generation/Synthesis.

book

Генератор сырых дампов пользователей VK.

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Create conversational conditional-logic forms with Vue.js.

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

𝙋𝙝𝙮𝙡𝙤𝙜𝙚𝙣𝙚𝙩𝙞𝙘 𝘾𝙤𝙢𝙥𝙤𝙣𝙚𝙣𝙩 𝙂𝙧𝙖𝙥𝙝 ⸺ Haskell program and libraries for general phylogenetic graph search

Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.

extract text from any document. no muss. no fuss.

Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

This repo conatins the code of the problems practised by me on Codeforces,Codedchef,Leetcode,Geeks For Geeks

stateofdev.ma source code

Resources for learning about Text Mining and Natural Language Processing

本笔记是对课程CS 259D中涉及的论文和讲义的扩展，建议阅读原始论文和讲义。

📉 使用 R 语言从拉勾网看数据挖掘岗位现状

A general purpose quiz application developed in angular (updated to angular 8) that can be used for multiple purpose.

RGL is a framework for graph data structures and algorithms in Ruby.

API em NodeJs usando Typescript, TDD, Clean Architecture, Design Patterns e SOLID principles

An algorithm finding #everystreet route on Open Street Map (OSMnx)

Magnetic resonance imaging and tractography with R

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

Instagram comment scraper using python and selenium. Save the comments into excel.

Processor scripts for Wikipedia dumps to crush them into a dense binary format that is easy to pathfind with.

A reading list for deep graph learning acceleration.

Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.

Python wrapper around GraphBLAS

Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.

Search lots of data sets for spurious correlations

Collection of cheatsheets for data science, machine learning and deep learning :).

Implementation of various Data Structures and algorithms - Linked List, Stacks, Queues, Binary Search Tree, AVL tree,Red Black Trees, Trie, Graph Algorithms, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Segment Trees etc.

modern mathematical graph/network library written in PHP

JavaScript Survey and Form Library

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Computational synthetic biology: Predicting DNA edits for bioengineering

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

Papers about recommendation systems that I am interested in

Demo application for GRADOOP operators

用python和sklearn两种方法实现李航《统计学习方法》中的算法

Cocoon – a flow-based workflow automation, data mining and visual analytics tool.

Data Structures and Algorithms

(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining

A Python Library for Health Predictive Models

Library of community detection algorithms and visualization tools