What's next?

This is a list of features that we wish to add to TensorFlow ML in the future:

  • [ ] Support for more machine learning models such as SVC, SVR
  • [ ] Verbose and quiet mode for training and evaluation
  • [ ] Google Colab support
  • [ ] Windows and MacOS support
  • [ ] Evaluation and comparison of models against their scikit-learn counterparts
  • [ ] Support to store and load models using tensorflow's SavedModel format
  • [ ] Support for pipelines and preprocessing of data, something like sklearn.pipeline.Pipeline

And many more! If you have any suggestions, feel free to open an issue or a pull request.

Participate in Contributing

We welcome contributions from the open-source community to enhance the TensorFlow ML library. If you are interested in contributing, follow these steps:

  1. Fork the project on GitHub: https://github.com/siddhantpathakk/tensorflow-ml
  2. Create a new branch for your feature/bugfix: git checkout -b feature-name
  3. Implement your changes and improvements.
  4. Write tests to ensure the functionality of the added models.
  5. Commit your changes and push them to your forked repository.
  6. Create a pull request to the main repository, describing your changes in detail.

Your contributions will be reviewed, and once approved, they will be merged into the main project. Let's work together to make TensorFlow ML a powerful and versatile machine learning library!