A PyTorch implementation of GraphSAGE

A PyTorch implementation of GraphSAGE This package contains a PyTorch implementation of GraphSAGE. Currently, only supervised versions of GraphSAGE-mean, GraphSAGE-GCN, GraphSAGE-maxpool and GraphSAGE-meanpool are implemented. Authors of this code package: Bin Yu Environment settings python>=3.6.8 pytorch>=1.0.0 Basic Usage Example Usage To run the supervised model on Cuda: GitHub View Github    

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Is Space-Time Attention All You Need for Video Understanding?

This is an official pytorch implementation of our ICML 2021 paper Is Space-Time Attention All You Need for Video Understanding?. In this repository, we provide PyTorch code for training and testing our proposed TimeSformer model. TimeSformer provides an efficient video classification framework that achieves state-of-the-art results on several video action recognition benchmarks such as Kinetics-400. If you find TimeSformer useful in your research, please use the following BibTeX entry for citation. @inproceedings{gberta_2021_ICML, author = {Gedas Bertasius    

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Gathers all info from Cisco devices and creates/updates it in Netbox server

Script gathers all needed info from Cisco devices and creates entities in Netbox (devices, interfaces, prefixes, ip addresses, cdp connections etc) This script has two parts: What the main.py script does: Connects to ips of Cisco devices written in ip_list_all.txt or ip_list.txt files by netmiko or paramiko Gathers information according to templates Parses data and writes into api/”device_name”.csv files in json format Script’s main purpose is full integration between Cisco and Netbox (https://netbox.readthedocs.io/en/stable/) Script works fine with IOS, NX-OS, XR, […]

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Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

The official codes of our CVPR2022 paper: Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization One Sentence Summary: EFDM outperforms AdaIN, which only matches first and second order statistics, by implicitly matching high orders statistics in an efficient manner. Fig.1: AdaIN vs. histogram matching vs. EFDM via Sort-matching. A brief introduction:Many real-world tasks (e.g., Arbitrary Style Transfer and Domain Generalizaiton) can be cast as a feature distribution matching problem.With the assumption of Gaussian feature distribution, conventional feature […]

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A Simple Todo Application With Python Django

Features Admin Panel Relational Model Able To Manage Admin Panel Able To Customize Admin Panel Able To Create Super Users Such as Admin Able To Use Any Type of Databases (Current Database is Sqlite3) Able To Add , Delete and Mark your Events as Completed in Your List Responsive Site (Optimization) Backend Security Language used in This Project   To finish reading, please visit source site

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Pie – A loose structured python project manager

Pie is a loose structured python project manager. A Loose structured and easy to use python project manager. Different sets ofcommands can be accessed by using the cli inside a project directory oroutside of it. Installation Install PIE Project Manager on pip pip install pie-manager pip3 install pie-manager Changelogs Changelogs Usage

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Apache APISIX Remote Code Execution (CVE-2022-24112) proof of concept exploit

Summary An attacker can abuse the batch-requests plugin to send requests tobypass the IP restriction of Admin API.A default configuration of Apache APISIX (with default API key) isvulnerable to remote code execution.When the admin key was changed or the port of Admin API was changed toa port different from the data panel, the impact is lower. But thereis still a risk to bypass the IP restriction of Apache APISIX’s datapanel. There is a check in the batch-requests plugin which overrides […]

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Advanced python obfuscator to obfuscate any python files using marshal, zlib, base64, base32, base16, base85 and many others

Python obfuscator / Python encoder / Python encrypter to obfuscate, encode, encrypt any python files using marshal, zlib, base64, base32, base16, base85 and many others. Download Python 3.6 and + (https://www.python.org) Simply browse and get your python file. Then enter the amount of time Monkey will obfuscate your python file (1 TIME IS RECOMMENDED). You can also add walls which will protect even more your source code and annoy people that will try to deobfuscate it. GitHub View Github   […]

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