Forecasting pytorch models

We want to start a new project at our university. We need programmers who can advise us on our project. DARTS Time Series Made Easy in Python PyPI version Conda Version Supported versions Docker Image Version (latest by date) GitHub Release Date GitHub Workflow Status Downloads Downloads codecov Code style: black Join the chat at [login to view URL] 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 deep 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 backtest models, combine the predictions of several models, and take external data into account. Darts supports both univariate and multivariate time series and models. The ML-based models can be trained on potentially large datasets containing multiple time series, and some of the models offer a rich support for probabilistic forecasting.