New Tutorials base on Jupyter Notebooks

We have developed new tutorials for SLICES based on Jupyter notebooks. This comprehensive overhaul makes the tutorials much easier to use. 🧠⛏️💎

v1.4.4

Installing SLICES is now easier than ever with just one command: "pip install slices".

If you're in China and want to speed up the download, you can use this command instead: "pip install slices -i https://pypi.tuna.tsinghua.edu.cn/simple".

Please note that this installtion method is intended for Linux operating systems like Ubuntu and CentOS. Unfortunately, SLICES is not compatible with Windows due to the modified XTB binary was compiled on Linux.

Once the installation is complete, you can immediately explore SLICES' capabilities. Test the encoding/decoding and data augmentation/canonicalization functions using the *.py files located in the /examples directory. It's a quick and easy way to get started!

v1.4

Major Revision Data

v1.3.1

modify duplicate fix and check functions

v1.3

Add check_SLICES and get_canonical_SLICES

v1.2

Update data augmentation function.

v1.1

Add an introductory example and suppress tensorflow warnings.

v1.0

Update README.md