add AutoTS python package

README.md

@@ -34,6 +34,7 @@ A collection of resources for working with sequential and time series data
 
 - [adtk](https://github.com/arundo/adtk) A Python toolkit for rule-based/unsupervised anomaly detection in time series.
 - [alibi-detect](https://github.com/SeldonIO/alibi-detect) Algorithms for outlier, adversarial and drift detection.
+- [AutoTS](https://github.com/winedarksea/AutoTS) A time series package for Python designed for rapidly deploying high-accuracy forecasts at scale.
 - [Auto_TS](https://github.com/AutoViML/Auto_TS) Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
 - [catch22](https://github.com/chlubba/catch22) CAnonical Time-series CHaracteristics, 22 high-performing time-series features in C, Python nad Julia.
 - [cesium](https://github.com/cesium-ml/cesium) Open-Source Platform for Time Series Inference.