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| title: GTM-Scope | |
| emoji: 👀 | |
| colorFrom: pink | |
| colorTo: gray | |
| sdk: gradio | |
| sdk_version: 4.12.0 | |
| app_file: app.py | |
| pinned: false | |
| license: ecl-2.0 | |
| # GTM-Scope | |
| ## Description | |
| GTM-Scope is an interactive tool that allows users to upload .tm and .zip (with json) files to extract information about machine learning models trained with Google Teachable Machine. | |
| -The .tm file, accessible via 'Download project as a file' in Google Teachable Machine, provides basic model configurations like type, version, and training parameters. | |
| -The .zip file, available after training a model, selecting 'TensorFlow.js', and clicking 'Download my model', offers a comprehensive view including metadata, model summary, and weight information. | |
| ## How to Use | |
| 1. Upload a .tm file to get basic model information such as type, version, epochs, batch size, and learning rate. | |
| 2. Upload a corresponding .zip file to get detailed model information, including TensorFlow.js metadata, model summary, and weight sizes. | |
| 3. You can upload both files to get a complete set of information about your Google Teachable Machine model. | |
| ## Additional Information | |
| This project was developed to facilitate the analysis and understanding of machine learning models. For suggestions or contributions, feel free to get in touch. | |
| Developed by Ramon Mayor Martins (2023) | |
| - Email: [rmayormartins@gmail.com](mailto:rmayormartins@gmail.com) | |
| - Homepage: [https://rmayormartins.github.io/](https://rmayormartins.github.io/) | |
| - Twitter: [@rmayormartins](https://twitter.com/rmayormartins) | |
| - GitHub: [https://github.com/rmayormartins](https://github.com/rmayormartins) | |