Parasite: a tool allowing you to compress and decompress files, to reduce their size

Last update: Nov 25, 2022

Overview

🦠 Parasite 🦠

Parasite is a tool written in Python3 allowing you to "compress" any file, reducing its size.

⭐ Features ⭐

+ Fast
+ Good optimization, file size can go from 20MB to 12MB

- Needs this tool to get the old file (logic)
- Some files aren't compatible

🎯 Levels 🎯

This section shows the "levels" of this project, from 0/5 ⚪ to 5/5 ⚫ !

⚪ 🟢 🔵 🔴 🟣 ⚫

Time: 🟢

Complexity: 🔵

Service: 🔵

💡 Ideas 💡

Feel free to make a pull request on this repository to submit any idea!

📌 Disclaimer 📌

Please use this program only for educational purposes.

It is not meant to be used in any malicious way, and I decline any responsibility for what you do with it.

billythegoat356

Owner

Billy

Apprend le développement et le pentest.

GitHub Repository

Implementation of "Large Steps in Inverse Rendering of Geometry"

Large Steps in Inverse Rendering of Geometry ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), December 2021. Baptiste Nicolet · Alec Jacob

274 Jan 06, 2023

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

TorchRL Disclaimer This library is not officially released yet and is subject to change. The features are available before an official release so that

860 Jan 07, 2023

Hcaptcha-challenger - Gracefully face hCaptcha challenge with Yolov5(ONNX) embedded solution

hCaptcha Challenger 🚀 Gracefully face hCaptcha challenge with Yolov5(ONNX) embe

593 Jan 03, 2023

Zero-shot Learning by Generating Task-specific Adapters

Code for "Zero-shot Learning by Generating Task-specific Adapters" This is the repository containing code for "Zero-shot Learning by Generating Task-s

11 Dec 17, 2021

UMich 500-Level Mobile Robotics Course

MOBILE ROBOTICS: METHODS & ALGORITHMS - WINTER 2022 University of Michigan - NA 568/EECS 568/ROB 530 For slides, lecture notes, and example codes, see

393 Dec 29, 2022

Nonnegative spatial factorization for multivariate count data

Nonnegative spatial factorization for multivariate count data This repository contains supporting code to facilitate reproducible analysis. For detail

24 Dec 19, 2022

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.

129 Dec 30, 2022

Augmented CLIP - Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.

Train aug_clip against laion400m-embeddings found here: https://laion.ai/laion-400-open-dataset/ - note that this used the base ViT-B/32 CLIP model. S

55 Sep 13, 2022

A new data augmentation method for extreme lighting conditions.

Random Shadows and Highlights This repo has the source code for the paper: Random Shadows and Highlights: A new data augmentation method for extreme l

35 Nov 26, 2022

A pure PyTorch batched computation implementation of "CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition"

14 Dec 02, 2022

The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store development.

The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store dev

0 Feb 03, 2022

SSD-based Object Detection in PyTorch

SSD-based Object Detection in PyTorch 서강대학교 현대모비스 SW 프로그램에서 진행한 인공지능 프로젝트입니다. Jetson nano를 이용해 pre-trained network를 fine tuning시켜 차량 및 신호등 인식을 구현하였습니다

1 Nov 16, 2021

CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

CLIP-GEN [简体中文][English] 本项目在萤火二号集群上用 PyTorch 实现了论文《CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP》。 CLIP-GEN 是一个 Language-F

75 Dec 29, 2022

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pix2pix-pytorch PyTorch implementation of Image-to-Image Translation Using Conditional Adversarial Networks. Based on pix2pix by Phillip Isola et al.

383 Dec 17, 2022

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Softlearning Softlearning is a deep reinforcement learning toolbox for training maximum entropy policies in continuous domains. The implementation is

997 Dec 30, 2022

Code and models used in "MUSS Multilingual Unsupervised Sentence Simplification by Mining Paraphrases".

Multilingual Unsupervised Sentence Simplification Code and pretrained models to reproduce experiments in "MUSS: Multilingual Unsupervised Sentence Sim

81 Dec 29, 2022

A PyTorch implementation of unsupervised SimCSE

99 Dec 23, 2022

API for RL algorithm design & testing of BCA (Building Control Agent) HVAC on EnergyPlus building energy simulator by wrapping their EMS Python API

RL - EmsPy (work In Progress...) The EmsPy Python package was made to facilitate Reinforcement Learning (RL) algorithm research for developing and tes

20 Jan 05, 2023

Pose estimation with MoveNet Lightning

Pose Estimation With MoveNet Lightning MoveNet is the TensorFlow pre-trained model that identifies 17 different key points of the human body. It is th

2 Jan 04, 2022

The official repository for BaMBNet

BaMBNet-Pytorch Paper

18 Dec 04, 2022