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navaneet625/README.md

Hi there, I'm Navneet Chauhan! 👋

M.tech IIIT Hyderabad || B.Tech KNIT Sultanpur

Welcome to my GitHub profile! I am a researcher and developer passionate about Computer Vision, Deep Learning, and Artificial Intelligence. I love building models that can see and understand the world.

🚀 About Me

  • 🎓 M.Tech Graduate from IIIT Hyderabad.
  • 🔭 I’m currently working on advanced Vision Models and Generative AI.
  • 🌱 I’m deeply interested in state-space models (Mamba) and Transformers.
  • � I’m open to collaboration on research papers and open-source DL projects.

🛠️ Tech Stack & Research Tools

python pytorch cplusplus opencv jupyter docker

🏆 Featured Projects

Here are some of the projects I've been working on:

Project Description Tech
vision_mamba Exploring State Space Models for Computer Vision tasks. Python, Deep Learning
SwinVQColor Advanced colorization or vector quantization using Swin Transformers. Python, Transformers
Image_captioning Project focused on generating descriptive captions for images. Jupyter Notebook
CRSD_model Custom Research/Deep Learning Model implementation. Python

📈 GitHub Stats

Navneet's GitHub Stats

Top Langs

Streak Stats

🔗 Connect with me

linkedin email

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  1. Image_captioning Image_captioning Public

    Neural Image Captioning with Attention — PyTorch implementation of "Show, Attend and Tell". Generates natural language captions for images using ResNet/VGG encoders + LSTM with attention.

    Jupyter Notebook

  2. CRSD_model CRSD_model Public

    CRSD is a minimal, research-oriented sequence modeling framework built from scratch to explore state-space models (SSMs) and sequence-to-sequence architectures in PyTorch. It’s designed to be fully…

    Python

  3. SwinVQColor SwinVQColor Public

    Hierarchical image colorization model combining a Swin Transformer encoder with an EMA-based VQ-VAE bottleneck and a residual decoder. Learns discrete color representations and produces realistic, …

    Jupyter Notebook

  4. vision_mamba vision_mamba Public

    Implementation of a Vision-Mamba network, integrating State Space Models (SSM) with a patch-based encoder–decoder for image inpainting, colorization, and denoising. Trained with L1, SSIM, and VGG p…

    Jupyter Notebook

  5. Computer_vision Computer_vision Public

    This repository contains a collection of Computer Vision assignments designed to build core skills in image-based measurement, matching, segmentation, and scene understanding. Each assignment focus…

    Jupyter Notebook

  6. RealTimeVQACaptioning RealTimeVQACaptioning Public

    A real-time image captioning and visual question answering (VQA) system. This project uses computer vision and NLP to generate descriptive captions for images and answer user questions about them.

    Python