1164 Repositories
Python Hacking-Github-Graph Libraries
This is a simple Port Flooder written in Python 3.
This is a simple Port Flooder written in Python 3. Use this tool to quickly stress test your network devices and measure your router's or server's load.
GAT - Graph Attention Network (PyTorch) 💻 + graphs + 📣 = ❤️
GAT - Graph Attention Network (PyTorch) 💻 + graphs + 📣 = ❤️ This repo contains a PyTorch implementation of the original GAT paper ( 🔗 Veličković et
A site that displays up to date COVID-19 stats, powered by fastpages.
https://covid19dashboards.com This project was built with fastpages Background This project showcases how you can use fastpages to create a static das
Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21
Skeletal-GNN Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21 Various deep learning techniques have been propose
A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition The source codes for ICCV2021 Paper: Spatio-Temporal Dynamic Inference Networ
Train Scene Graph Generation for Visual Genome and GQA in PyTorch = 1.2 with improved zero and few-shot generalization.
Scene Graph Generation Object Detections Ground truth Scene Graph Generated Scene Graph In this visualization, woman sitting on rock is a zero-shot tr
Pancakeswap-Sniper-TORNADO-CASH--MAC-WIN-ANDROID-LINUX--2022-V1 - Pancakeswap Sniper BOT - TORNADO CASH (MAC WINDOWS ANDROID LINUX) FAST snipe BUY token on LUANCH after add LIQUIDITY
TORNADO CASH Pancakeswap Sniper BOT 2022-V1 (MAC WINDOWS ANDROID LINUX) ⭐️ AUTO
Bitcoin-chance-wheel - Try your luck at getting bitcoins
Program Features - ✍️ Why did we name this tool the Lucky Wheel? - ✍️ This tool
An implementation of webhook used to notify GitHub repository events to DingTalk.
GitHub to DingTask An implementation of webhook used to notify GitHub repository events to DingTalk.
Desafio de projeto sobre Git/Github
Maçã ou Laranja? 🤔 Desafio Projeto Dio para Git/Github 🔶 Para esse primeiro repositório, decidir adicionar o primeiro algoritmo de inteligência arti
A library for graph deep learning research
Documentation | Paper [JMLR] | Tutorials | Benchmarks | Examples DIG: Dive into Graphs is a turnkey library for graph deep learning research. Why DIG?
A Telegram crawler to search groups and channels automatically and collect any type of data from them.
Introduction This is a crawler I wrote in Python using the APIs of Telethon months ago. This tool was not intended to be publicly available for a numb
Find graph motifs using intuitive notation
d o t m o t i f Find graph motifs using intuitive notation DotMotif is a library that identifies subgraphs or motifs in a large graph. It looks like t
labsecurity is a tool that brings together python scripts made for ethical hacking, in a single tool, through a console interface
labsecurity labsecurity is a tool that brings together python scripts made for ethical hacking, in a single tool, through a console interface. Warning
A fully decentralized protocol for private transactions FAST snipe BUY token on LUANCH after add LIQUIDITY
TORNADO CASH Pancakeswap Sniper BOT 2022-V1 (MAC WINDOWS ANDROID LINUX) ⭐️ A fully decentralized protocol for private and safe transactions ⭐️ AUTO DO
The worst but simplest webhook bot for GitHub and Matrix.
gh-bot gh-bot is maybe the worst (but simplest) Matrix webhook bot for Github. Example of commits: Example of workflow finished: Setting up Server You
TORNADO CASH Proxy Pancakeswap Sniper BOT 2022-V1 (MAC WINDOWS ANDROID LINUX)
TORNADO CASH Pancakeswap Sniper BOT 2022-V1 (MAC WINDOWS ANDROID LINUX) ⭐️ A ful
Pygitstats - a package that allows you to use the GitHub GraphQL API with ease in your Python programs
Pygitstats - a package that allows you to use the GitHub GraphQL API with ease in your Python programs
TORNADO CASH Pancakeswap Sniper BOT 2022-V1 (MAC WINDOWS ANDROID LINUX)
TORNADO CASH Pancakeswap Sniper BOT 2022-V1 (MAC WINDOWS ANDROID LINUX)
Code for paper "Multi-level Disentanglement Graph Neural Network"
Multi-level Disentanglement Graph Neural Network (MD-GNN) This is a PyTorch implementation of the MD-GNN, and the code includes the following modules:
Pancakeswap Sniper BOT - TORNADO CASH Proxy (MAC WINDOWS ANDROID LINUX) A fully decentralized protocol for private transactions
TORNADO CASH Proxy Pancakeswap Sniper BOT 2022-V1 (MAC WINDOWS ANDROID LINUX) ⭐️ A fully decentralized protocol for private transactions ⭐️ AUTO DOWNL
Go from graph data to a secure and interactive visual graph app in 15 minutes. Batteries-included self-hosting of graph data apps with Streamlit, Graphistry, RAPIDS, and more!
✔️ Linux ✔️ OS X ❌ Windows (#39) Welcome to graph-app-kit Turn your graph data into a secure and interactive visual graph app in 15 minutes! Why This
Build a small, 3 domain internet using Github pages and Wikipedia and construct a crawler to crawl, render, and index.
TechSEO Crawler Build a small, 3 domain internet using Github pages and Wikipedia and construct a crawler to crawl, render, and index. Play with the r
NS-Defacer: a auto html injecter, In other words It's a auto defacer to deface a lot of websites in less time
Overview NS-Defacer is a auto html injecter, In other words It's a auto defacer
Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network.
mask-uncertainty-in-HSI This repository contains the testing code and pre-trained models for the paper Calibrated Hyperspectral Image Reconstruction v
Fast Learning of MNL Model From General Partial Rankings with Application to Network Formation Modeling
Fast-Partial-Ranking-MNL This repo provides a PyTorch implementation for the CopulaGNN models as described in the following paper: Fast Learning of MN
This repository provides some of the code implemented and the data used for the work proposed in "A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems".
cluster-link-prediction This repository provides some of the code implemented and the data used for the work proposed in "A Cluster-Based Trip Predict
Boamp-extractor - Script d'extraction des AOs publiés au BOAMP
BOAMP Extractor BOAMP-Extractor permet d'extraire les offres de marchés publics publiées au bulletin officiel des annonces des marchés publics (BOAMP)
Glyph-graph - A simple, yet versatile, package for graphing equations on a 2-dimensional text canvas
Glyth Graph Revision for 0.01 A simple, yet versatile, package for graphing equations on a 2-dimensional text canvas List of contents: Brief Introduct
XlvnsScriptTool - Tool for decompilation and compilation of scripts .SDT from the visual novel's engine xlvns
XlvnsScriptTool English Dual languaged (rus+eng) tool for decompiling and compiling (actually, this tool is more than just (dis)assenbler, but less th
Virus-Builder - This tool will generate a virus that can only destroy Windows computer
Virus-Builder - This tool will generate a virus that can only destroy Windows computer. You can also configure to auto run in usb drive
IP Rover - An Excellent OSINT tool to get information of any ip address
IP Rover - An Excellent OSINT tool to get information of any ip address. All details are explained in below screenshot
Awesome Graph Classification - A collection of important graph embedding, classification and representation learning papers with implementations.
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers
Hacktricks - Welcome to the page where you will find each trick/technique/whatever I have learnt in CTFs, real life apps, and reading researches and news.
Hacktricks - Welcome to the page where you will find each trick/technique/whatever I have learnt in CTFs, real life apps, and reading researches and news.
Tool-X is a kali linux hacking Tool installer.
Tool-X is a kali linux hacking Tool installer. Tool-X developed for termux and other Linux based systems. using Tool-X you can install almost 370+ hacking tools in termux app and other linux based distributions.
Faza - Faza terminal, Faza help to beginners for pen testing
Faza terminal simple tool for pen testers Use small letter only for commands Don't use space after command 'help' for more information Installation gi
Graph-total-spanning-trees - A Python script to get total number of Spanning Trees in a Graph
Total number of Spanning Trees in a Graph This is a python script just written f
42-event-notifier - 42 Event notifier using 42API and Github Actions
42 Event Notifier 42서울 Agenda에 새로운 이벤트가 등록되면 알려드립니다! 현재는 Github Issue로 등록되므로 상단
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Source code for AISTATS 2019 paper: Confidence-based Graph Convolutional Ne
Training neural models with structured signals.
Neural Structured Learning in TensorFlow Neural Structured Learning (NSL) is a new learning paradigm to train neural networks by leveraging structured
Keras implementation of the GNM model in paper ’Graph-Based Semi-Supervised Learning with Nonignorable Nonresponses‘
Graph-based joint model with Nonignorable Missingness (GNM) This is a Keras implementation of the GNM model in paper ’Graph-Based Semi-Supervised Lear
A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)
G3NN This repo provides a pytorch implementation for the 4 instantiations of the flexible generative framework as described in the following paper: A
PyTorch implementation for Graph Contrastive Learning with Augmentations
Graph Contrastive Learning with Augmentations PyTorch implementation for Graph Contrastive Learning with Augmentations [poster] [appendix] Yuning You*
CCCL: Contrastive Cascade Graph Learning.
CCGL: Contrastive Cascade Graph Learning This repo provides a reference implementation of Contrastive Cascade Graph Learning (CCGL) framework as descr
GitHub Activity Generator - A script that helps you instantly generate a beautiful GitHub Contributions Graph for the last year.
GitHub Activity Generator A script that helps you instantly generate a beautiful GitHub Contributions Graph for the last year. Before 😐 😶 😒 After ?
This script is intended to crawl license information of repositories through the GitHub API.
GithubLicenseCrawler This script is intended to crawl license information of repositories through the GitHub API. Taking a csv file with requirements.
Help you discover excellent English projects and get rid of disturbing by other spoken language
GitHub English Top Charts 「Help you discover excellent English projects and get
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training Original implementation for paper GCC: Graph Contrastive Coding for Graph Neural N
PyTorch implementation of deep GRAph Contrastive rEpresentation learning (GRACE).
GRACE The official PyTorch implementation of deep GRAph Contrastive rEpresentation learning (GRACE). For a thorough resource collection of self-superv
Graph Representation Learning via Graphical Mutual Information Maximization
GMI (Graphical Mutual Information) Graph Representation Learning via Graphical Mutual Information Maximization (Peng Z, Huang W, Luo M, et al., WWW 20
A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling"
SelfGNN A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which will appear in Th
Pretraining on Dynamic Graph Neural Networks
Pretraining on Dynamic Graph Neural Networks Our article is PT-DGNN and the code is modified based on GPT-GNN Requirements python 3.6 Ubuntu 18.04.5 L
An implementation of Deep Graph Infomax (DGI) in PyTorch
DGI Deep Graph Infomax (Veličković et al., ICLR 2019): https://arxiv.org/abs/1809.10341 Overview Here we provide an implementation of Deep Graph Infom
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
Unsupervised Attributed Multiplex Network Embedding (DMGI) Overview Nodes in a multiplex network are connected by multiple types of relations. However
Heterogeneous Deep Graph Infomax
Heterogeneous-Deep-Graph-Infomax Parameter Setting: HDGI-A: Node-level dimension: 16 Attention head: 4 Semantic-level attention vector: 8 learning rat
Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
Subg-Con Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning (Jiao et al., ICDM 2020): https://arxiv.org/abs/2009.10273 Over
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Graph-InfoClust-GIC [PAKDD 2021] PAKDD'21 version Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs Preprint version Graph InfoClu
Rocks vc Userbot: A Telegram Bot Project That's Allow You To Play Audio And Video Music On Telegram Voice Chat Group
⭐️ Rocks VC Userbot ⭐️ Telegram Userbot To Play Audio And Video Song On VC Chat
Forked from 0x36 on github who then rewrote the ida_kernelcache python framework
Forked from 0x36 on github who then rewrote the ida_kernelcache python framework. Sadly 0x36 doesn't seem to have push updates to the project and it took me a very long time to figure out why this wasn't working with ghidra i finally found the ghidra api html source and saw that in 10.1 some of the functions used was either entirely removed or just plain depricated.
A Python server and client app that tracks player session times and server status
MC Outpost A Python server and client application that tracks player session times and server status About MC Outpost provides a session graph and ser
Scientific measurement library for instruments, experiments, and live-plotting
PyMeasure scientific package PyMeasure makes scientific measurements easy to set up and run. The package contains a repository of instrument classes a
Gmail account using brute force attack
Programmed in Python | PySimpleGUI Gmail Hack Python script with PySimpleGUI for hack gmail account using brute force attack If you like it give it
Real-time cryptocurrencies prices.
New update added more cryptocurrencies and GBP If you like it give it a star Crypto-watcher is simple program showing price of cryptocurrency in USD a
Dynamically Generate GitHub Stats as like Terminal Interface
GitHub Stats Terminal Style Dynamically Generate GitHub Stats as like Terminal Interface Usage Create a New Repository using this Template or click he
FTP Anonymous Login
FTPAnon FTP Anonymous Login Install git clone https://github.com/SiThuTuntimehacker/FTPAnon cd FTPAnon bash install.sh access ftp sever " ftpaccess.tx
The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
Block Modeling-Guided Graph Convolutional Neural Networks This repository contains the demo code of the paper: Block Modeling-Guided Graph Convolution
Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Authors: Fan-yun Sun, Jordan Hoffm
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
NeoDTI NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions (Bioinformatics).
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
SelfTask-GNN A PyTorch implementation of "Self-supervised Learning on Graphs: Deep Insights and New Directions". [paper] In this paper, we first deepe
Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper
Graph-Bert Source code of "Graph-Bert: Only Attention is Needed for Learning Graph Representations". Please check the script.py as the entry point. We
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.
Pretrain-Recsys This is our Tensorflow implementation for our WSDM 2021 paper: Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen. Pre-Training
PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
SLAPS-GNN This repo contains the implementation of the model proposed in SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Pre-training of Graph Augmented Transformers for Medication Recommendation
G-Bert Pre-training of Graph Augmented Transformers for Medication Recommendation Intro G-Bert combined the power of Graph Neural Networks and BERT (B
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
GPT-GNN: Generative Pre-Training of Graph Neural Networks GPT-GNN is a pre-training framework to initialize GNNs by generative pre-training. It can be
Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs This repository is the implementation of SELAR. Dasol Hwang* , Jinyoung Pa
Deeper insights into graph convolutional networks for semi-supervised learning
deeper_insights_into_GCNs Deeper insights into graph convolutional networks for semi-supervised learning References data and utils.py come from Implem
Reference Code for AAAI-20 paper "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels"
Reference Code for AAAI-20 paper "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels" Please refer to htt
code for "Self-supervised edge features for improved Graph Neural Network training", arxivlink
Self-supervised edge features for improved Graph Neural Network training Data availability: Here is a link to the raw data for the organoids dataset.
[ICML 2020] DrRepair: Learning to Repair Programs from Error Messages
DrRepair: Learning to Repair Programs from Error Messages This repo provides the source code & data of our paper: Graph-based, Self-Supervised Program
Code for hyperboloid embeddings for knowledge graph entities
Implementation for the papers: Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs, Nurendra Choudhary, Nikhil Rao,
Generate visualizations of GitHub user and repository statistics using GitHubActions
GitHub Stats Visualization Generate visualizations of GitHub user and repository
A script to add issues to a project in Github based on label or status.
Add Github Issues to Project (Beta) A python script to move Github issues to a next-gen (beta) Github Project Getting Started These instructions will
Generate visualizations of GitHub user and repository statistics using GitHub Actions.
GitHub Stats Visualization Generate visualizations of GitHub user and repository statistics using GitHub Actions. This project is currently a work-in-
Asad Alexa VC Bot Is A Telegram Bot Project That's Allow You To Play Audio And Video Music On Telegram Voice Chat Group.
Asad Alexa VC Bot Is A Telegram Bot Project That's Allow You To Play Audio And Video Music On Telegram Voice Chat Group.
The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.
SAG-DTA The code is the implementation for the paper 'SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network'. Requirements py
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition (AGRA, ACM 2020, Oral)
Cross Domain Facial Expression Recognition Benchmark Implementation of papers: Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchm
cookiecutter template for web API with python
Python project template for Web API with cookiecutter What's this This provides the project template including minimum test/lint/typechecking package
Its The Basic Commands Of Termux
Its The Basic Commands Of Termux
Web3 Pancakeswap Sniper & honeypot detector Take Profit/StopLose bot written in python3, For ANDROID WIN MAC & LINUX
Web3 Pancakeswap Sniper & honeypot detector Take Profit/StopLose bot written in python3, For ANDROID WIN MAC & LINUX
A rhythm-based game that automatically generates obstacles based on a song's features.
DISCLAIMER: This is my first coding project, created in December 2019. The game may not be optimized, and looking back on it, there are a lot of chang
Fastapi practice project
todo-list-fastapi practice project How to run Install dependencies npm, yarn: standard-version, husky make: script for lint, test pipenv: virtualenv +
Github Workflows üzerinde Çalışan A101 Aktüel Telegam Bot
A101AktuelRobot Github Workflows üzerinde Çalışan A101 Aktüel Telegam Bot @A101AktuelRobot 💸 Bağış Yap ☕️ Kahve Ismarla 🌐 Telif Hakkı ve Lisans Copy
FTP-Exploits is a tool made in python that contains 4 diffrent types of ftp exploits that can be used in Penetration Testing.
FTP-exploits FTP-exploits is a tool which is used for Penetration Testing that can run many kinds of exploits on port 21(FTP) Commands and Exploits Ex
Getting my gitlab commit history into github
This is a mock repository. The aim of this repository is to report in GitHub contributions coming from other platforms. It has been automatically crea
The code for our paper "AutoSF: Searching Scoring Functions for Knowledge Graph Embedding"
AutoSF The code for our paper "AutoSF: Searching Scoring Functions for Knowledge Graph Embedding" and this paper has been accepted by ICDE2020. News:
Build a medical knowledge graph based on Unified Language Medical System (UMLS)
UMLS-Graph Build a medical knowledge graph based on Unified Language Medical System (UMLS) Requisite Install MySQL Server 5.6 and import UMLS data int
MS Graph API authentication example with Fast API
MS Graph API authentication example with Fast API What it is & does This is a simple python service/webapp, using FastAPI with server side rendering,
LynxKite: a complete graph data science platform for very large graphs and other datasets.
LynxKite is a complete graph data science platform for very large graphs and other datasets. It seamlessly combines the benefits of a friendly graphical interface and a powerful Python API.