Our goal is to provide a go-to place for Counterfactual Explanations in Julia. To this end, the following is a non-exhaustive list of enhancements we have planned:

  1. Additional counterfactual generators and predictive models.
  2. Additional datasets for testing, evaluation and benchmarking.
  3. Support for regression models.

For a complete list, have a look at outstanding issue.

How to contribute?

Any sort of contribution is welcome, in particular:

  1. Should you spot any errors or something is not working, please just open an issue.
  2. If you want to contribute your code, please proceed as follows:
    • Fork this repo and clone your fork: git clone
    • Implement your modifications and submit a pull request.
  3. For any other questions or comments, you can also start a discussion.