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Showing 10 results from 155
ahmar00987/ahsam
GitHub Apache License 2.0#!/usr/bin/python3 #-*-coding:utf-8-*- # Made With β€οΈ By Ahmar And AHMARCODE Project # Update V0.1 # CopyrightΒ© Ahmar ID 2021 # 100% Open Source Code # Author : Ahmar jan. # Facebook (Alizar M.M.M X) : https://www.facebook.com/profile.php?id=100027259894020X # Instagram (β¬ ππ§π¨π§π²π¦ πππ β¬) : ... Read more
External source
GitHub
ashin-coder/language-translator
GitHub PythonThe Language Translator project based in Python offers real-time translation of text in over 100 languages. It includes auto-language detection, text-to-speech, and speech-to-text capabilities. Easily copy translated text and remove previous translations for a clutter-free experience.
External source
GitHub
nicolaigaina/ai-video-captions
GitHub TypeScript MIT LicenseFree, open-source AI video caption generator. Add trending animated subtitles to any video β 6 styles (Hormozi, MrBeast, Karaoke), word-level animation, 100+ languages. Powered by Whisper + FFmpeg. Self-hosted with Docker.
External source
GitHub
AI-redteam/sherl0ck
GitHub PythonSearch an entire directory of .eml email files for a word or phrase... in over 100 languages.
External source
GitHub
gtt116/enikk
GitHub Python MIT LicenseSelf-improving GUI Agent for desktop automation. Progressive perception, natural language teachable, 100% open source. Powered by Hermes Agent
External source
GitHub
samedreams/just-for-fun-ai
GitHub PHP MIT LicenseThe $100 AI project is a collection of different language implementations
External source
GitHub
dp4/micrommander
GitHub Assembly GNU General Public License v3.0windows 64 bit file commander written in 100% assembly language
External source
GitHub
developer239/localized-graphql-koa-typescript
GitHub TypeScriptJavaScript meets server. Objection and GraphQL with support for π multiple languages. π³ and 100 % test coverage included.
External source
GitHub
HCI-LAB-UGSPEECHDATA/speech_data_ghana_ug
GitHub HTML OtherThe dataset comprises of 5000 hours speech corpus in Akan, Ewe, Dagbani, Daagare, and Ikposo. Each language includes 1000 hours of audio speech from indigenous speakers of the language. Of which 100 hours is transcribed.
External source
GitHub
mrlbenchmarks/global-piqa
GitHubGlobal PIQA: Evaluating Physical Commonsense Reasoning Across 100+ Languages and Cultures
External source
GitHub
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