neuralforecast and pytorch-forecasting
These are complementary tools: NeuralForecast provides high-level forecasting algorithms with built-in neural network implementations, while PyTorch Forecasting offers lower-level PyTorch-based components for building custom time series models, allowing practitioners to use NeuralForecast for direct forecasting or PyTorch Forecasting for more granular control when implementing advanced architectures.
About neuralforecast
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
This project helps you predict future trends and values for your business or research by analyzing past data. You provide historical time series data, and it outputs precise future forecasts using advanced neural network models. This tool is ideal for data scientists, analysts, or researchers who need accurate and scalable forecasting for various real-world applications.
About pytorch-forecasting
sktime/pytorch-forecasting
Time series forecasting with PyTorch
This project helps data scientists and analysts forecast future trends using historical time series data. You input structured dataframes containing time series, and it outputs predictions for what will happen next. It's designed for professionals who need to predict demand, sales, resource utilization, or other time-dependent metrics.
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