Contributions are welcome and are greatly appreciated! Every little bit helps, and credit will always be given.

Code Formatting#

We use AutoPEP8 for code formatting and standard. Checkout pyproject.toml at root directory.

Report Bugs#

Report bugs through Github issue.

Please report relevant information and preferably code that exhibits the problem.

Do not try to email us about the issues, we will not respond to the emails, submit a proper Github issue.

Fix Bugs#

Look through the Github issue for bugs. Anything is open to whoever wants to implement it.

Implement Features#

Look through the Github issue or Malaya-project for features. Any unassigned improvement issue is open to whoever wants to implement it.

We use frozen graph Tensorflow, should able to freeze any Tensorflow (version 1.15 and above) or Keras models.


Create a new issue in Github issue related to your data including the data link or attached it there. If you want to improve current dataset we have, you can check at Malaya-Dataset.

Or, you can simply email your data if you do not want to expose the data to public. Malaya will not exposed your data, but we will exposed our trained models based on your data.

Thanks to,

  1. Fake news, contributed by syazanihussin

  2. Speech voice, contributed by Khalil Nooh

  3. Speech voice, contributed by Mas Aisyah Ahmad

  4. Singlish text dump, contributed by brytjy

  5. Singapore news, contributed by brytjy

Improve Documentation#

Malaya could always use better documentation, might have some typos or uncorrect object names.

Submit Feedback#

The best way to send feedback is to open an issue on Github issue.

Unit test#

Test every possible program flow! You can check unit tests here.

Feel free to help Malaya to write unit-tests, fork it!