|
|
@@ -4,15 +4,12 @@ |
|
|
|
|
|
|
|
[](https://pypi.org/project/ablkit/) [](https://pypi.org/project/ablkit/) [](https://ablkit.readthedocs.io/en/latest/?badge=latest) [](https://github.com/AbductiveLearning/ABLkit/blob/main/LICENSE) [](https://github.com/AbductiveLearning/ABLkit/actions/workflows/lint.yaml) [](https://github.com/psf/black) [](https://github.com/AbductiveLearning/ABLkit/actions/workflows/build-and-test.yaml) |
|
|
|
|
|
|
|
[📘Documentation](https://ablkit.readthedocs.io/en/latest/index.html) | [📚Examples](https://github.com/AbductiveLearning/ABLkit/tree/main/examples) | [💬Reporting Issues](https://github.com/AbductiveLearning/ABLkit/issues/new) |
|
|
|
[📘Documentation](https://ablkit.readthedocs.io/en/latest/index.html) | [📄Paper](https://journal.hep.com.cn/fcs/EN/10.1007/s11704-024-40085-7) | [📚Examples](https://github.com/AbductiveLearning/ABLkit/tree/main/examples) | [💬Reporting Issues](https://github.com/AbductiveLearning/ABLkit/issues/new) |
|
|
|
|
|
|
|
</div> |
|
|
|
|
|
|
|
# ABLkit: A Toolkit for Abductive Learning |
|
|
|
|
|
|
|
- [Documentation](https://ablkit.readthedocs.io/en/latest/index.html) |
|
|
|
- [Read the paper](https://journal.hep.com.cn/fcs/EN/10.1007/s11704-024-40085-7) |
|
|
|
|
|
|
|
**ABLkit** is an efficient Python toolkit for [**Abductive Learning (ABL)**](https://www.lamda.nju.edu.cn/publication/chap_ABL.pdf). ABL is a novel paradigm that integrates machine learning and logical reasoning in a unified framework. It is suitable for tasks where both data and (logical) domain knowledge are available. |
|
|
|
|
|
|
|
<p align="center"> |
|
|
|