Qurat-17

Qurat-17's Stars

• Sadia-Saad1/Transliteration-Roman-Urdu-to-Urdu

  The goal is to implement and practice some basic text manipulation techniques for the Urdu language. The task is to perform transliteration from Roman Urdu to Urdu (roman2urdu) and Urdu to Roman Urdu (urdu2roman). This assignment is designed to be completed from scratch.

  Language:Jupyter Notebook1

• MSaudTahir/Naive_RomanUrdu_Urdu_Bitransliteration

  A naive approach to Urdu to Roman Urdu and vice versa transliteration.

  Language:Jupyter Notebook1

• komalsethiya01/The-Kashmiri-Translator-

  The Kashmiri Translator aims to translate English into Kashmiri language and vice versa. It takes audio/text input from the user and gives the corresponding translation in audio/text format. It is developed using various Natural Language Processing techniques such as Word lemmatization, tokenization, etc.

  Language:Python2

• AI4Bharat/IndicTrans2

  Translation models for 22 scheduled languages of India

  Language:Python22060

• nateshmbhat/pyttsx3

  Offline Text To Speech synthesis for python

  Language:Python2.1k330

• williamyang1991/Rerender_A_Video

  [SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

  Language:Jupyter Notebook2.9k201

• leandromoreira/digital_video_introduction

  A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

  Language:Jupyter Notebook15.4k1.3k

• jasonppy/VoiceCraft

  Zero-Shot Speech Editing and Text-to-Speech in the Wild

  Language:Jupyter Notebook7.5k740

• Chenyme/Chenyme-AAVT

  这是一个全自动（音频）视频翻译项目。利用Whisper识别声音，AI大模型翻译字幕，最后合并字幕视频，生成翻译后的视频。

  Language:Python1.5k131

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python68.9k8.1k

• LibraryOfCongress/newspaper-navigator

  Language:Jupyter Notebook23127

• lhf-labs/tm-dataset

  Code repository for our paper presenting the L3D dataset.

  Language:Python204

• mzmmoazam/kashmiri_dataset

  Data and tool to fetch kashmiri text

  Language:HTML101

• SanyaAttri/Minor-1

  The goal of this project is to detect stress via a questionnaire – the analysis of individual’s responses (on Likert scale) on questionnaire – and to map those responses and, analyse and classify using various machine learning algorithms.

  Language:Jupyter Notebook2

• serenera/Serenera

  Monitor Chrome Browsing to detect levels of Depression

  Language:Python178

• Qurat-17/whatsap-chat-analyzer

  Language:Python1