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Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

A generalizable application framework for segmentation, regression, and classification using PyTorch

darts is a python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to ... [More] backtest models, and combine the predictions of several models and external regressors. Darts supports both univariate and multivariate time series and models. [Less]