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🧠 Vision DL Architectures 🖼️

Welcome! 🚀 This repo is part of my journey to dive deep into Deep Learning (DL) for computer vision. It’s a personal project to document my learning journey to implement DL architectures from scratch. I’ll update it as I progress.

📚 About

This repository is a work in progress, where I:

  • Explore and implement classic and SOTA DL architectures.
  • Focus on understanding the inner workings of these models.
  • Document my learning process and practical use cases.

🌟 Features

  • Implemented Architectures:

    • CNNs: ResNet, VGG, etc.
    • Transformers: ViTs and variants.
    • Lightweight models: MobileNet, EfficientNet.
    • New approaches: Swin Transformers, ConvNeXt.

  • Flexible Training Framework:

    • Pipelines for training and evaluation.

🚀 Getting Started

Installation

  1. Clone the repository: 
    git clone https://github.com/AhmedNasr7/vision-models
cd vision-models
  2. Install dependencies 
    pip install -r requirements.txt

This repo is for personal reference and growth. Feel free to explore or adapt it for your own learning!