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Achievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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mobassir94/README.md

Hi 👋

I am kaggle Notebooks GrandMaster looking for opportunities and collabaration in projects related to data science and deep learning.

  • 🔭 I’m practicing Deep Learning techniques for computer vision and Natural Language Processing in kaggle
  • 🌱 I’m currently learning Computer Vision and Deep Learning techniques using PyTorch.
  • 🤝 I’m looking to collaborate on data science and deep learning projects.

YOUR github stats

mobassirCV

live : https://mobassir94.github.io/mobassircv.github.io/

reference :

https://github.com/Lexie88rus/Lexie88rus.github.io

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  1. comprehensive-bangla-tts comprehensive-bangla-tts Public

    Aiming to achieve ultimate Multilingual TTS pipeline with main focus on releasing COQUI🐸TTS(Text-to-Speech) based high performing neural voice cloning systems for Bangla for the first time, support…

    Jupyter Notebook 34 7

  2. Multilingual-Speech-to-Speech-Translator Multilingual-Speech-to-Speech-Translator Public

    Multilingual Speech to Speech (STS) Translator is the First Ever Code-mixed English-Arabic speech to Bangla-Arabic Speech Translator

    Jupyter Notebook 8 1

  3. Multilingual-NLP-for-Islamic-Theology Multilingual-NLP-for-Islamic-Theology Public

    Cross Lingual Language models for making search engines for Holy Quran and Sahih Hadiths

    Jupyter Notebook 8

  4. Data-Driven-Theology Data-Driven-Theology Public

    The main aim of this repository is to find similarities between different religious scriptures. specially for Quran and Bible using NLP.

    Jupyter Notebook 1

  5. Multilingual-Reader Multilingual-Reader Public

    in this repository we will share our works related to multilingual document reading (english,bangla and arabic).this is a work in progress,we will gradually update the repo inshaa allah

    Jupyter Notebook 4

  6. Deploy-trained-TensorFlow-2.x-models-using-Amazon-SageMaker Deploy-trained-TensorFlow-2.x-models-using-Amazon-SageMaker Public

    step by step process to learn how to deploy your trained TensorFlow 2.x models using Amazon SageMaker

    Jupyter Notebook 3 1