neuralforecast and mlforecast
These are complementary tools within the same ecosystem: NeuralForecast specializes in deep learning-based forecasting while MLForecast provides traditional machine learning approaches, allowing users to choose or combine neural and non-neural methods for the same forecasting task.
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 mlforecast
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
This tool helps businesses and analysts predict future trends using historical time series data. You input multiple series of past observations, like sales figures or stock prices, and it outputs predictions for future values. It's designed for data scientists, operations managers, and anyone needing accurate, scalable forecasts for business planning or resource allocation.
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