Games

Contains all the components necessary to run a DC finals (attack-defense CTF) game from OOO

All the components necessary to run a game of the OOO DC CTF finals. Authors: adamd, hacopo, Erik Trickel, Zardus, and bboe Design Philosophy This repo contains all the game components necessary to run an Attack-Defense CTF that OOO used from 2018–2021. The design is based on adamd’s experience building the ictf-framework. There are fundamental tenenats that we try to follow in the design of the system: Spoke component model The communication design of the components in the system (which […]

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Converter

Convert whatsapp exported chat(without media) into a readable pdf format

convert whatsApp exported chat into a readable pdf format. convert without media chat Installation Use the package manager pip to install packages. $ git clone https://github.com/nishantssoni/Wats2PDF.git $ pip install -r requirements.txt Usage First place your whatsApp exported chat into your_exported_txt folder Screenshots Contributing Contributions are always welcome! hit me on Twitter GitHub View Github    

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Obfuscator

PBN Obfuscator: A overpowered obfuscator for python, which will help you protect your source code

PBN Obfuscator is a overpowered obfuscator for python, which will help you protect your source code. If you are running the file directly without any custom sys.argv arguments then you can input your code. And if there are custom sys.argv arguments then it will go like this: python3 obfuscator.py . However if you aren’t running the file directly then you can just call the obfuscate() function. print(“Made by poggersbutnot.”) def llnt(*eyjx): wgommt = [] for teyij in eyjx: wgommt.append(getattr(__import__(“x62x75x69x6cx74x69x6ex73”), “x63x68x72”)(teyij)) […]

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Django

Advance market place website written in django

Advance market place website written in django 🙂 Online fashion store for wholesalers and retailers. 🗒 Note: This project does not have a shopping cart and wholesalers can register their order through WhatsApp. ⭐️ PicoStyle features Market place Advance admin panel Multilanguage Multilayer filtering Advance category system Session-based favorite list (wish list) Newsletter News system ⚙️ Config the project First you should make venv for this project.So in the main root of project you should type this command in your […]

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Segmentation

Sentinel-2 Super-Resolution Segmentation Network

Sentinel-2 Super-Resolution Segmentation Network Installation Basic To help out with development, start by cloning this repo-url Then I recommend using mambato install both non-python binaries and python libraries.A virtual environment will also be created with Python andJupyterLab installed. cd s2s2net mamba env create –file environment.yml Activate the virtual environment first. Finally, double-check that the libraries have been installed. Advanced This is for those who want full reproducibility of the virtual environment. Making an explicit conda-lock file(only needed if creating a […]

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CVE

SAP memory pipes(MPI) desynchronization vulnerability CVE-2022-22536

SAP memory pipes desynchronization vulnerability(MPI) CVE-2022-22536. Description POC for CVE-2022-22536: SAP memory pipes(MPI) desynchronization vulnerability. create by antx at 2022-02-15. Detail SAP NetWeaver Application Server ABAP, SAP NetWeaver Application Server Java, ABAP Platform, SAP Content Server 7.53 and SAP Web Dispatcher are vulnerable for request smuggling and request concatenation. An unauthenticated attacker can prepend a victim’s request with arbitrary data. This way, the attacker can execute functions impersonating the victim or poison intermediary Web caches. A successful attack could result […]

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PyTorch

A PyTorch Implementation code for developing super fast adversarial training

This is a PyTorch Implementation code for developing super fast adversarial training. This code is combined with below state-of-the-art technologies for accelerating adversarial attacks and defenses with Deep Neural Networks on Volta GPU architecture. Distributed Data Parallel [link] Channel Last Memory Format [link] Mixed Precision Training [link] Mixed Precision + Adversarial Attack (based on torchattacks [link]) Faster Adversarial Training for Large Dataset [link] Fast    

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Ajax

A simple implementation of Hamiltonian Monte Carlo in JAX

This is a simple implementation of Hamiltonian Monte Carlo in JAX that is vectorized and supports pytree parameters (i.e. tree-like structures). Here’s a minimal example to sample from a distribution: import jax import jax.numpy as jnp from hmc import hmc_sampler # define target distribution def target_log_pdf(params): return jax.scipy.stats.t.logpdf(params, df=1).sum() # run HMC params_init = jnp.zeros(10)    

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Transformer

Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations

This repository contains PyTorch evaluation code, training code and pretrained EViT models for the ICLR 2022 Spotlight paper: Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie The proposed EViT models obtain competitive tradeoffs in terms of speed / precision: If you use this code for a paper please cite: @inproceedings{liang2022evit, title={Not All Patches are What You    

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