Neuralforecast

What's Changed
* [DOCS] Probabilistic Long-horizon forecasting in https://github.com/Nixtla/neuralforecast/pull/361
* [FEAT]: Updated GMM Class in losses.pytorch in https://github.com/Nixtla/neuralforecast/pull/365
* [FEAT] Scale decoupling changes for GMM and PMM class in https://github.com/Nixtla/neuralforecast/pull/366
* [FEAT] AutoTFT in https://github.com/Nixtla/neuralforecast/pull/367
* [FIX] Losses in Auto models initialization in https://github.com/Nixtla/neuralforecast/pull/369


**Full Changelog**: https://github.com/Nixtla/neuralforecast/compare/v1.2.0...v1.3.0

What's Changed
* [FIX] Colab link getting started in https://github.com/Nixtla/neuralforecast/pull/329
* Improved MQ-NBEATS [B,H]+[B,H,Q] -> [B,H,Q] in https://github.com/Nixtla/neuralforecast/pull/330
* Improved MQ-NBEATSx [B,H]+[B,H,Q] -> [B,H,Q] in https://github.com/Nixtla/neuralforecast/pull/331
* fixed pytorch losses' init documentation in https://github.com/Nixtla/neuralforecast/pull/333
* TCN in https://github.com/Nixtla/neuralforecast/pull/332
* Update README.md in https://github.com/Nixtla/neuralforecast/pull/335
* [FEAT] DistributionLoss in https://github.com/Nixtla/neuralforecast/pull/339
* [FEAT] Deprecated GMMTFT in favor of DistributionLoss' modularity in https://github.com/Nixtla/neuralforecast/pull/342
* [Feat] Scaled Distributions in https://github.com/Nixtla/neuralforecast/pull/345
* Deprecate AffineTransformed class in https://github.com/Nixtla/neuralforecast/pull/350
* [FEAT] Add cla action in https://github.com/Nixtla/neuralforecast/pull/349
* [FIX] Delete cla.yml in https://github.com/Nixtla/neuralforecast/pull/353
* [FIX] CI tests in https://github.com/Nixtla/neuralforecast/pull/357
* [FEAT] Added return_params to Distributions in https://github.com/Nixtla/neuralforecast/pull/348
* [FEAT] Ignore jupyter notebooks as part of `languages` in https://github.com/Nixtla/neuralforecast/pull/355
* [FEAT] Added `num_samples` to Distribution's initialization in https://github.com/Nixtla/neuralforecast/pull/359


**Full Changelog**: https://github.com/Nixtla/neuralforecast/compare/v1.1.0...v1.2.0

What's Changed
* [FIX] Update license in https://github.com/Nixtla/neuralforecast/pull/285
* [FEAT] Exogenous variables in https://github.com/Nixtla/neuralforecast/pull/286
* scalers class in https://github.com/Nixtla/neuralforecast/pull/288
* General documentation improvements in https://github.com/Nixtla/neuralforecast/pull/287
* Fixed README links and added SoTA runs to examples in https://github.com/Nixtla/neuralforecast/pull/291
* Improved documentation in https://github.com/Nixtla/neuralforecast/pull/293
* Improved documentation in https://github.com/Nixtla/neuralforecast/pull/297
* Improved RNN-based/BaseRecurrent/Windows in https://github.com/Nixtla/neuralforecast/pull/298
* Save load in https://github.com/Nixtla/neuralforecast/pull/292
* Fix normalizers in https://github.com/Nixtla/neuralforecast/pull/301
* Improved example notebooks, changed numeration in https://github.com/Nixtla/neuralforecast/pull/302
* Static variables in https://github.com/Nixtla/neuralforecast/pull/305
* Turned Pytorch losses into `torch.nn.module` classes in https://github.com/Nixtla/neuralforecast/pull/311
* Changed enable_checkpointing to False default in https://github.com/Nixtla/neuralforecast/pull/309
* Correct main link pointers in https://github.com/Nixtla/neuralforecast/pull/314
* Rnns normalizers in https://github.com/Nixtla/neuralforecast/pull/316
* rnns with decoders, autos, usage examples, fix val in https://github.com/Nixtla/neuralforecast/pull/320
* Improved documentation3 in https://github.com/Nixtla/neuralforecast/pull/322
* getting started with LSTM and NHITS in https://github.com/Nixtla/neuralforecast/pull/323
* recovered MQ-NHITS in https://github.com/Nixtla/neuralforecast/pull/327


**Full Changelog**: https://github.com/Nixtla/neuralforecast/compare/v1.0.0...v1.1.0

What's Changed

* [BREAKING CHANGE] NeuralForecast Refactor https://github.com/Nixtla/neuralforecast/pull/281
* [FIX] Nbdev docs https://github.com/Nixtla/neuralforecast/pull/282
* [FEAT] Add examples in https://github.com/Nixtla/neuralforecast/pull/283


**Full Changelog**: https://github.com/Nixtla/neuralforecast/compare/v0.1.0...v1.0.0

What's Changed
* Added Loss Function & Rewrote Unit Testing by shibzhou in https://github.com/Nixtla/neuralforecast/pull/238
* fix reshapes and rnn by cchallu in https://github.com/Nixtla/neuralforecast/pull/247
* mqnhits by cchallu in https://github.com/Nixtla/neuralforecast/pull/248
* y to device by cchallu in https://github.com/Nixtla/neuralforecast/pull/249
* Update LICENSE to MIT by FedericoGarza in https://github.com/Nixtla/neuralforecast/pull/251

New Contributors
* shibzhou made their first contribution in https://github.com/Nixtla/neuralforecast/pull/238

**Full Changelog**: https://github.com/Nixtla/neuralforecast/compare/v0.0.9...v0.1.0

What's Changed
* Added unit tests for numpy and pytorch losses by kdgutier in https://github.com/Nixtla/neuralforecast/pull/232
* fix/api auto by FedericoGarza in https://github.com/Nixtla/neuralforecast/pull/234


**Full Changelog**: https://github.com/Nixtla/neuralforecast/compare/v0.0.8...v0.0.9