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.
- 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.
- Browse the Notebooks: Explore the
/notebooksdirectory for available model notebooks. - Open on Colab: Click the Colab badge in each notebook or open Colab and upload a notebook.
- Run the Notebook: Follow the instructions in each notebook to train or test a model.
- 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
/notebooksfolder.
- Clone this repository or download the notebook you’re interested in.
- Open it in Google Colab.
- Run each cell sequentially. Modify parameters as desired to experiment.
git clone https://github.com/Annaa74/Google-colab-models.gitContributions are welcome! Please open an issue or submit a pull request if you have improvements, bug fixes, or new notebooks to add.
This repository is licensed under the MIT License. See LICENSE for details.
- Google Colab
- TensorFlow
- PyTorch
- Open-source ML community
Happy experimenting!