[MNT] complete __init__.py of abl and rename readme.md

README.md

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+[![flake8 Lint](https://github.com/AbductiveLearning/ABL-Package/actions/workflows/lint.yml/badge.svg?branch=Dev)](https://github.com/AbductiveLearning/ABL-Package/actions/workflows/lint.yml)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![ABL-Package-CI](https://github.com/AbductiveLearning/ABL-Package/actions/workflows/build-and-test.yaml/badge.svg?branch=Dev)](https://github.com/AbductiveLearning/ABL-Package/actions/workflows/build-and-test.yaml)
+
+# ABL Package
+
+This is the code repository of abductive learning Package.
+
+## Environment dependency 
+
+#### Install Swipl 
+[http://www.swi-prolog.org/build/unix.html](http://www.swi-prolog.org/build/unix.html)
+
+#### Install required package
+
+```shell
+pip install zoopt
+pip install pyswip==0.2.9
+```
+
+
+## Example 
+share_example.py and nonshare_exaple.py are examples of grounded abductive learning.
+
+```bash 
+python share_example.py
+```
+
+
+## Authors 
+
+- [Yu-Xuan Huang](http://www.lamda.nju.edu.cn/huangyx/) (Nanjing University)
+- [](http://www.lamda.nju.edu.cn//) (Nanjing University)
+
+
+## NOTICE 
+They can only be used for academic purpose. For other purposes, please contact with LAMDA Group(www.lamda.nju.edu.cn).
+
+## To do list 
+
+- [ ] Improve speed and accuracy
+- [ ] Add comparison with DeepProbLog, NGS,... (Accuracy and Speed)
+- [x] Add Inference/Abduction example with FOL engine (e.g., Prolog)
+- [x] Add zoopt optimization
+- [ ] Rearrange structure and make it a python package
+- [ ] Documents
+

abl/__init__.py

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+from .learning import abl_model, basic_nn
+from .reasoning import reasoner, kb