v1.0.120

Update configuration to use dacite (#172)

* Update configuration to use dacite

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update configuration pattern to use .build() methods per maintainer feedback

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v1.0.119

feat: Implement dynamic NNJA-AI V1 dataset loader (#171)

* feat: Add dynamic NNJA-AI dataset loader

- Implement automatic primary descriptor/data detection
- Add coordinate standardization (LAT->latitude, LON->longitude)
- Include xarray to PyTorch adapter
- Add comprehensive test coverage

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* modified NNJA-AI installation instructions and Always include coordinate vars

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* minor fixes as per suggestion

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v1.0.118

[pre-commit.ci] pre-commit autoupdate (#156)

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.12.1 → v0.12.7](https://github.com/astral-sh/ruff-pre-commit/compare/v0.12.1...v0.12.7)

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v1.0.117

feat(loss): add AMSE loss with SHT caching to address spectral double…

v1.0.116

Update README (#155)

* Update README

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v1.0.115

Add DeepMind FGN Model (#154)

* Add README for model overview

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* Add basic overall FGN model class

* Copy over more from GenCast implementation

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* Copy in GenCast code, modified for FGN

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* Add tests

Currently fails, but needs to work

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* Model works

* Update to FGN model size defaults

* Update prediction response

* Remove sin/cos day of year bit

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v1.0.114

[pre-commit.ci] pre-commit autoupdate (#132)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.9.2 → v0.12.1](https://github.com/astral-sh/ruff-pre-commit/compare/v0.9.2...v0.12.1)
- [github.com/psf/black: 24.10.0 → 25.1.0](https://github.com/psf/black/compare/24.10.0...25.1.0)

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v1.0.113

Update Natten for cuda to 0.20.1

v1.0.112

Bug fixes and updates

v1.0.111

Add Anemoi to requirements