Raptor-Multi-Tool - Raptor Multi Tool With Python

Overview

Promises πŸ”₯


20 Stars and I'll fix every error that there is

50 Stars and we will add a whole new page for even more things!


Features ✨


22 Features, 5 credits, 6 features in both All In Ones, Best Features are Token Nukers, token managers and probably the raiding (these are fairly slow but not my problem)

image


Usage πŸ™Œ


Just run PackageInstaller.bat then run Raptor.py (Obviously you have to have python), note that this uses ctypes which is strictly for Windows only. If you are an user who is on a different OS just go through the code and delete all the lines that has ctypes as there is no module for window title except ones for only windows, or just use replit.


Credits 🀝


Main Coder ~ ! Aran#9999

Helped with functions ~ vivid#9541

Original Idea ~ tkn#0908

Big Thanks to all the testers that made sure this program ran smooth

All the credits can be found inside the program too.


License 😈


Read the LICENSE that was given in the program, but if you don't want to read it here is the TLDR;

You can give this program away, You cannot charge people to get this program, YOU CANNOT REMOVE ANY CREDITS OR IDENTIFICATION ON ANYTHING THAT WE PUT


Note πŸ“


I have made this program free because why not, star this project if you like it, we are human so we cannot make everything perfect if something doesn't work we might fix we might not, its just how it goes BY THIS I MEAN I WILL NOT MAINTAIN THIS PROJECT PROPERLY, and I know that it will get skidded but what can you do? This was not obfuscated because thats sketch af so look at the src to look for any grabber or if you want to learn Api's and stuff You can add Aran or Vivid if you encounter any bugs and we will fix it, Hope You Enjoy!

Owner
Aran
14 year old coder
Aran
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

Ian Pointer 368 Dec 17, 2022
This is an official implementation of the High-Resolution Transformer for Dense Prediction.

High-Resolution Transformer for Dense Prediction Introduction This is the official implementation of High-Resolution Transformer (HRT). We present a H

HRNet 403 Dec 13, 2022
Code for "Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search"

Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search This is an implementation for our paper Contextual Non-Loca

Tencent YouTu Research 50 Dec 03, 2022
Neighborhood Reconstructing Autoencoders

Neighborhood Reconstructing Autoencoders The official repository for Neighborhood Reconstructing Autoencoders (Lee, Kwon, and Park, NeurIPS 2021). T

Yonghyeon Lee 24 Dec 14, 2022
Read number plates with https://platerecognizer.com/

HASS-plate-recognizer Read vehicle license plates with https://platerecognizer.com/ which offers free processing of 2500 images per month. You will ne

Robin 69 Dec 30, 2022
This is just a funny project that we want to see AutoEncoder (AE) can actually work to enhance the features we want

Funny_muscle_enhancer :) 1.Discription: This is just a funny project that we want to see AutoEncoder (AE) can actually work on the some features. We w

Jing-Yao Chen (Jacob) 8 Oct 01, 2022
Code for the tech report Toward Training at ImageNet Scale with Differential Privacy

Differentially private Imagenet training Code for the tech report Toward Training at ImageNet Scale with Differential Privacy by Alexey Kurakin, Steve

Google Research 29 Nov 03, 2022
Automatic tool focused on deriving metallicities of open clusters

metalcode Automatic tool focused on deriving metallicities of open clusters. Based on the method described in PΓΆhnl & Paunzen (2010, https://ui.adsabs

2 Dec 13, 2021
A medical imaging framework for Pytorch

Welcome to MedicalTorch MedicalTorch is an open-source framework for PyTorch, implementing an extensive set of loaders, pre-processors and datasets fo

Christian S. Perone 799 Jan 03, 2023
Implementations of the algorithms in the paper Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters

Implementations of the algorithms in the paper Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters

Johannes von Lindheim 3 Oct 29, 2022
Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"

This is the codebase for the paper: Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs Directory Structur

Peter Hase 19 Aug 21, 2022
The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020.

DS3L This is the code for paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020. Setups The code is implem

Guolz 36 Oct 19, 2022
A simplified framework and utilities for PyTorch

Here is Poutyne. Poutyne is a simplified framework for PyTorch and handles much of the boilerplating code needed to train neural networks. Use Poutyne

GRAAL/GRAIL 534 Dec 17, 2022
Denoising Diffusion Probabilistic Models

Denoising Diffusion Probabilistic Models This repo contains code for DDPM training. Based on Denoising Diffusion Probabilistic Models, Improved Denois

Alexander Markov 7 Dec 15, 2022
Predict stock movement with Machine Learning and Deep Learning algorithms

Project Overview Stock market movement prediction using LSTM Deep Neural Networks and machine learning algorithms Software and Library Requirements Th

Naz Delam 46 Sep 13, 2022
Next-gen Rowhammer fuzzer that uses non-uniform, frequency-based patterns.

Blacksmith Rowhammer Fuzzer This repository provides the code accompanying the paper Blacksmith: Scalable Rowhammering in the Frequency Domain that is

Computer Security Group @ ETH Zurich 173 Nov 16, 2022
Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch .

PyTorch-High-Res-Stereo-Depth-Estimation Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch. Stereo dep

Ibai Gorordo 26 Nov 24, 2022
Model Agnostic Interpretability for Multiple Instance Learning

MIL Model Agnostic Interpretability This repo contains the code for "Model Agnostic Interpretability for Multiple Instance Learning". Overview Executa

Joe Early 10 Dec 17, 2022
Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

L2F - Learning to Forget for Meta-Learning Sungyong Baik, Seokil Hong, Kyoung Mu Lee Source code for CVPR 2020 paper "Learning to Forget for Meta-Lear

Sungyong Baik 29 May 22, 2022
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021 Accepted

NU-Wave β€” Official PyTorch Implementation NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling Junhyeok Lee, Seungu Han @ MINDsLab Inc

MINDs Lab 242 Dec 23, 2022