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Forecasting pytorch models

Job Description:

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

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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.

Навыки: Статистика, Статистический анализ, Математика, SPSS Statistics, Pytorch

О клиенте:
( 0 отзыв(-а, -ов) ) ANKARA, Turkey

ID проекта: #35440316

15 фрилансеров(-а) готовы выполнить эту работу в среднем за $17/час

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