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conda-forge.org : neuralforecast
State-of-the-art time series forecasting for PyTorch. `NeuralForecast` is a Python library for time series forecasting with deep learning models. It includes *benchmark datasets*, *data-loading utilities*, *evaluation functions*, statistical *tests*, univariate *model benchmarks* and *SOTA* models implemented in PyTorch and PyTorchLightning. PyPI: [https://pypi.org/project/neuralforecast/](https://pypi.org/project/neuralforecast/)
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purl: pkg:conda/neuralforecast
Keywords: deep-learning, deep-neural-networks, deepar, esrnn, forecasting, machine-learning, nbeats, nbeatsx, neural-network, nhits, pytorch, tft, time-series, transformer
License: GPL-3.0-only
Latest release: over 1 year ago
First release: about 2 years ago
Dependent packages: 1
Stars: 1,270 on GitHub
Forks: 124 on GitHub
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Last synced: 13 days ago