WaveFake: A Data Set to Facilitate Audio DeepFake Detection

This is the code repository for our NeurIPS 2021 (Track on Datasets and Benchmarks) paper WaveFake. Deep generative modeling has the potential to cause significant harm to society.Recognizing this threat, a magnitude of research into detecting so-called “Deepfakes” has emerged.This research most often focuses on the image domain, while studies exploring generated audio signals have – so far – been neglected.In this paper, we aim to narrow this gap.We present a novel data set, for which we collected ten sample […]

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An API for controlling Wi-Fi connections on Balena devices

Description An API for controlling Wi-Fi connections on Balena devices. It does not contain an interface, instead it provides API endpoints to send requests to interact with the device. Any interface of your choice can be built to interact with the API. If you develop an interface that is open source, please do let me know so I can provide people links. Get started On launch, the app will detect if you already have a Wi-Fi connection. If you do, […]

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Copier template for solving Advent of Code puzzles with Python

This template creates scaffolding for one day of Advent of Code. It includes tests and can download your personal input data if you have advent-of-code-data installed. Quick Start The first time you use this template you should make sure that you have Copier installed and optionally advent-of-code-data as well. You can install these with pipx and pip: $ pipx install copier $ python -m pip install advent-of-code-data Once you have Copier on your system, you can create Advent of Code […]

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Extract Facebook group posts that are related to a specific topic and write them to a .json file

The scraper should only be used for educational purposes Kindly refrain from scraping sensitive or private information It is highly recommended to scrape public (and not private) groups Ask for consent from the group adminstrator and/or group members before running any code I am not responsible for any misuse of the code in any shape or form Extract Facebook group posts that are related to a specific topic and write them to a .json file.This project was created in order […]

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4Bitcoin With pySimpleGUI

PrivateKey (dec): 8855335826785969288314719735111386971PrivateKey (hex): 0000000000000000000000000000000006a979c3c81b97008095eda17c3e875bBitcoin Address Compressed : 1HSWHbjKPvHnZMMUrJcg2ytbyvgrkwy1Z3Bitcoin Address UnCompressed :149njBmravCpBLJL4ysAW4U2dMNyfxYSdMBitcoin Segwit Address :32Zg8VWFyBhsfnCARWx72fUxy9udG5s3FCBitcoin MultisigSegwit Address :34xjrcTom6Q5pRwh5ymKdA8wHofsDscbQQPrivateKey (wif) Compressed : KwDiBf89QgGbjEhKnhXJuH7MGNocjCCe7wL3EAvvxPrcf7cmiXG7PrivateKey (wif) UnCompressed : 5HpHagT65TZzG1PH3CSu63k8Jz3rnMfSBBVnN7L1tyP7ipqtgWA=====Made by mizogg.co.uk Donations 3P7PZLbwSt2bqUMsHF9xDsaNKhafiGuWDB ===== Load Your Database/List of Bitcoin Addresses to hunt for. Pick Your Puzzle Range to look for Bitcoin Wallets Min Range 1(Start) Max Range 256(Stop) Easy Report and Save to File or Email Check out Older Versions Here: https://mizogg.co.uk/pysimplegui/ GitHub View Github    

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A dashboard that shows the detailed information about each book in the top 50 best selling books on amazon over the last ten years

It’s a dashboard that shows the detailed information about each book in the top 50 best selling books on amazon over the last ten years Table of contents: 1-General info 2-Setup General info In this project,we implement a dashboard that shows the detailed information about each book in the top 50 best selling books on amazon over the last ten years.when the user clicks on a book in the graph , all the information about it appear. Setup To run […]

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Telegram Reporter With Python

🇮🇷AliCybeRR🇮🇷 Login Your Telegram account 👽 support Termux ❕ No Limits ⚡ Secure 🔐 Free 💯 fast 🚀 [ 📀Installation Termux] $ apt update -y $ apt upgrade -y $ apt install python -y $ apt install git $ git clone https://github.com/AliCybeRR/ReporterV3 $ pip install -r requirements.txt $ cd ReporterV3 $ python AliCybeRR.Reporter.py $ Login Your Account Script_View🌵

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An image base contains 490 images for learning (400 cars and 90 boats), and another 21 images for testing

Données Une base d’images contient 490 images pour l’apprentissage (400 voitures et 90 bateaux), et encore 21 images pour fait des tests. Prétraitements Chaque image doit passer par la séquence des traitements suivantes. Conversion l’image au niveau de gris Binarisation (Noir et blanc) Redimensionnement (120*80) Conversion la matrice de l’image au vecteur Insertion se vecteur dans une matrice (images) Insertion dans un autre vecteur le nom de l’objet (Y). Le Classifier utilisé J’ai utilisé un classifier SVM de la bibliothèque […]

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