Raptor-Multi-Tool - Raptor Multi Tool With Python

Overview

Promises 🔥


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 🙌


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 📝


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
💡 Learnergy is a Python library for energy-based machine learning models.

Learnergy: Energy-based Machine Learners Welcome to Learnergy. Did you ever reach a bottleneck in your computational experiments? Are you tired of imp

Gustavo Rosa 57 Nov 17, 2022
More than a hundred strange attractors

dysts Analyze more than a hundred chaotic systems. Basic Usage Import a model and run a simulation with default initial conditions and parameter value

William Gilpin 185 Dec 23, 2022
FedScale: Benchmarking Model and System Performance of Federated Learning

FedScale: Benchmarking Model and System Performance of Federated Learning (Paper) This repository contains scripts and instructions of building FedSca

268 Jan 01, 2023
An self sufficient AI that crawls the web to learn how to generate art from keywords

Roxx-IO - The Smart Artist AI! TO DO / IDEAS Implement Web-Scraping Functionality Figure out a less annoying (and an off button for it) text to speech

Tatz 5 Mar 21, 2022
Neural Turing Machines (NTM) - PyTorch Implementation

PyTorch Neural Turing Machine (NTM) PyTorch implementation of Neural Turing Machines (NTM). An NTM is a memory augumented neural network (attached to

Guy Zana 519 Dec 21, 2022
TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

YeongHyeon Park 7 Aug 28, 2022
Turning pixels into virtual points for multimodal 3D object detection.

Multimodal Virtual Point 3D Detection Turning pixels into virtual points for multimodal 3D object detection. Multimodal Virtual Point 3D Detection, Ti

Tianwei Yin 204 Jan 08, 2023
Xintao 1.4k Dec 25, 2022
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces

This repository contains source code for the paper Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces a

9 Nov 21, 2022
Pytorch code for "Text-Independent Speaker Verification Using 3D Convolutional Neural Networks".

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

Amirsina Torfi 114 Dec 18, 2022
Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020

Code accompanying "Dynamic Neural Relational Inference" This codebase accompanies the paper "Dynamic Neural Relational Inference" from CVPR 2020. This

Colin Graber 48 Dec 23, 2022
Resources related to our paper "CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain"

CLIN-X (CLIN-X-ES) & (CLIN-X-EN) This repository holds the companion code for the system reported in the paper: "CLIN-X: pre-trained language models a

Bosch Research 4 Dec 05, 2022
DCGAN LSGAN WGAN-GP DRAGAN PyTorch

Recommendation Our GAN based work for facial attribute editing - AttGAN. News 8 April 2019: We re-implement these GANs by Tensorflow 2! The old versio

Zhenliang He 408 Nov 30, 2022
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

In-Place Activated BatchNorm In-Place Activated BatchNorm for Memory-Optimized Training of DNNs In-Place Activated BatchNorm (InPlace-ABN) is a novel

1.3k Dec 29, 2022
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines

A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines Understanding the results of deep neural networks is

Johan van den Heuvel 2 Dec 13, 2021
GuideDog is an AI/ML-based mobile app designed to assist the lives of the visually impaired, 100% voice-controlled

Guidedog Authors: Kyuhee Jo, Steven Gunarso, Jacky Wang, Raghav Sharma GuideDog is an AI/ML-based mobile app designed to assist the lives of the visua

Kyuhee Jo 5 Nov 24, 2021
AntroPy: entropy and complexity of (EEG) time-series in Python

AntroPy is a Python 3 package providing several time-efficient algorithms for computing the complexity of time-series. It can be used for example to e

Raphael Vallat 153 Dec 27, 2022
Self-Learning - Books Papers, Courses & more I have to learn soon

Self-Learning This repository is intended to be used for personal use, all rights reserved to respective owners, please cite original authors and ask

Achint Chaudhary 968 Jan 02, 2022
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

FNet: Mixing Tokens with Fourier Transforms Pytorch implementation of Fnet : Mixing Tokens with Fourier Transforms. Citation: @misc{leethorp2021fnet,

Rishikesh (ऋषिकेश) 218 Jan 05, 2023
A complete, self-contained example for training ImageNet at state-of-the-art speed with FFCV

ffcv ImageNet Training A minimal, single-file PyTorch ImageNet training script designed for hackability. Run train_imagenet.py to get... ...high accur

FFCV 92 Dec 31, 2022