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