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Google Colab Models

A curated collection of deep learning and machine learning model notebooks designed for easy execution and experimentation on Google Colab. This repository provides ready-to-use Jupyter notebooks, scripts, and resources to help you train, test, and deploy various models in the cloud, leveraging the free GPU and TPU resources offered by Colab.

Features

  • Plug-and-Play Notebooks: Simply open, copy to your Google Drive, and run.
  • Wide Range of Models: Includes notebooks for popular tasks such as image classification, natural language processing, generative models, and more.
  • Minimal Setup: All dependencies are managed within the notebook—no local installation needed.
  • Educational Focus: Each notebook is well-commented for learning and experimentation.

Getting Started

  1. Browse the Notebooks: Explore the /notebooks directory for available model notebooks.
  2. Open on Colab: Click the Colab badge in each notebook or open Colab and upload a notebook.
  3. Run the Notebook: Follow the instructions in each notebook to train or test a model.

Example Notebooks

  • CNN for Image Classification (Keras/TensorFlow)
  • Text Generation with LSTM (PyTorch)
  • Transfer Learning with Pre-trained Models
  • GANs for Image Synthesis

For a full list, see the /notebooks folder.

Usage

  1. Clone this repository or download the notebook you’re interested in.
  2. Open it in Google Colab.
  3. Run each cell sequentially. Modify parameters as desired to experiment.
git clone https://github.com/Annaa74/Google-colab-models.git

Contributing

Contributions are welcome! Please open an issue or submit a pull request if you have improvements, bug fixes, or new notebooks to add.

License

This repository is licensed under the MIT License. See LICENSE for details.

Acknowledgments


Happy experimenting!

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