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Gangadhar24377/README.md

Gangadhar K

I'm Gangadhar, a passionate tech enthusiast with a strong focus on AI and ML. As a full-stack developer, I love building innovative web applications with React.js. My drive to explore cutting-edge technologies and contribute to the AI and ML field fuels my continuous pursuit of excellence in software development.

Skills and Experience

Skills:

  • πŸ€– AI ML

  • πŸ“² REACT JS, HTML, CSS

  • πŸ’» Python - Django

  • πŸ”­ I’m currently working on Some cool Projects

Anurag's GitHub stats

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  1. VQGAN-training-model_Images VQGAN-training-model_Images Public

    Config files for my GitHub profile.

    Jupyter Notebook 1

  2. Wav2Lip-HQ-inference Wav2Lip-HQ-inference Public

    Wav2Lip-HQ Inference is an advanced Python-based lip-syncing solution, leveraging the powerful Wav2Lip-HQ model to produce high-fidelity talking-face videos. Seamlessly aligning the lip movements o…

    Jupyter Notebook 4 1

  3. BirdClassifier BirdClassifier Public

    BirdClassifier is a deep learning model designed to identify various bird species accurately. It leverages cutting-edge technology, integrating MobileNet-v2 and Convolutional Neural Network (CNN) a…

    Jupyter Notebook 1 2

  4. CRISP CRISP Public

    CRISP is a cutting-edge React-based admin panel designed specifically for managing and optimizing university bus tracking systems. With a focus on enhancing passenger experience and providing real-…

    TypeScript 1 1

  5. MonocularDepthEstimation MonocularDepthEstimation Public

    Forked from vishnugamini/MonocularDepthEstimation

    Monocular depth estimation utilizes Unet architecture, a neural network model. Unet encodes image features and decodes them to predict depth from single images. It's crucial for applications like a…

    Jupyter Notebook

  6. Wav2Lip Wav2Lip Public

    Forked from marifdemirtas/Wav2Lip

    This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.

    Python