Pytorch-forecasting

- Add tests for MacOS
- Automatic releases
- Coverage reporting

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This release improves robustness of the code.

- Fixing bug across code, in particularly

- Ensuring that code works on GPUs
- Adding tests for models, dataset and normalisers
- Test using GitHub Actions (tests on GPU are still missing)

- Extend documentation by improving docstrings and adding two tutorials.
- Improving default arguments for TimeSeriesDataSet to avoid surprises

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Added

- Basic tests for data and model (mostly integration tests)
- Automatic target normalization
- Improved visualization and logging of temporal fusion transformer
- Model bugfixes and performance improvements for temporal fusion transformer

Modified

- Metrics are reduced to calculating loss. Target transformations are done by new target transformer