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plugin-system

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Application for training an autoencoder for generating an encoder that can be used as feature extractor for dimensionality and noise reduction, while the decoder can be used for synthetic data generation. Supports dynamic plugin integration, allowing users to extend its capabilities by adding custom encoder and decoder models.

  • Updated Jun 21, 2025
  • Python

Predictor that uses a configurable plugin-based predictive supervised learning model, to make forecasts for a configurable time horizon in a timeseries, using heterogeneus multivariate timeseries data as input, the input data needs to be aligned with the timeseries to be used as training signals. Includes 4 built-in deep-learning predictive models.

  • Updated Aug 3, 2025
  • Python

Cusal Inference applied to timeseries, uses an event database to generate a timeseries of the outcome given a sliding window containing events. Useful to add causal outcomes of events into multivariate timeseries forecasting models.

  • Updated Jan 22, 2025
  • Python

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