Nixtla/neuralforecast

Scalable and user friendly neural 🧠 forecasting algorithms.

Pythonmachine-learningdeep-neural-networksdeep-learningtime-seriesneural-networkpytorchtransformerforecastingtfthintbaselinesprobabilistic-forecastingrobust-regressionhierarchical-forecastingdeeparbaselines-zoonbeatsesrnnnbeatsxnhits
This is stars and forks stats for /Nixtla/neuralforecast repository. As of 28 Mar, 2024 this repository has 1805 stars and 192 forks.

Nixtla     Neural 🧠 Forecast User friendly state-of-the-art neural forecasting models. NeuralForecast offers a large collection of neural forecasting models focused on their usability, and robustness. The models range from classic networks like MLP, RNNs to novel proven contributions like NBEATS, TFT and other architectures. 💻 Installation PyPI You can install NeuralForecast's released version from the Python package index pip with: pip install neuralforecast (Installing inside a python virtualenvironment...
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