v1.0.0

First stable release of mlcolvar package. Most of the changes with respect to 0.3.0 are related to documentation and notebooks illustrating tutorials and examples on how to use and expand the library, together with small fixes and enhancements.

What's Changed

• Support for multiple datasets of different size by @andrrizzi in #59
• NormalizationInverse class by @EnricoTrizio in #61
• Codecov_debug by @EnricoTrizio in #64
• Codecov_improve by @EnricoTrizio in #65
• Include notebook testing to codecov by @EnricoTrizio in #70
• Fix AutoEncoder calling pre/postprocessing during training by @andrrizzi in #69
• Colab interface for notebooks by @EnricoTrizio in #71
• Tutorials_fix by @EnricoTrizio in #62
• Moved notebook tests only to Ubuntu by @EnricoTrizio in #76
• Chingolin example with TPI-Deep-TDA + minor fix in create_dataset_from_file by @EnricoTrizio in #77
• Update documentation with contributions and references by @luigibonati in #78
• Add section for examples notebooks by @luigibonati in #79
• Prepare for pypi release by @luigibonati in #80
• fix dependencies in pyproject by @luigibonati in #81

Full Changelog: v0.3.0...v1.0.0