Cblearn

- Feature: JOSS paper
- Feature: Quickstart guide in documentation
- Feature: Data point sampling from manifolds.
- Improvement: Extended documentation
- Improvement: cblearn logo and new style in documentation
- Improvement: Filter invalid responses in datasets
- Improvement: Full compatibility to sklearn estimator tests

- Improvement: Extended documentation
- Feature: `embedding.estimate_dimensionality_cv` function (Künstle et al., 2022)
- Fix: Avoid numpy deprecation warning for scalar variables in `fetch_similarity_matrix`
- Fix: Various errors in the examples
- Fix: Minor errors in the unit tests
- Others: Updated dependencies

- support python 3.11
- update core dependencies

- Minor fixes in the documentation.
- Adapt loading of food and imagenet dataset to solve problems caused by changes in externally hosted files

- Support python 3.9 and 3.10.
- Introduce semantic versioning
- Publish to PyPI