Software

R packages on CRAN and Python packages on PyPI.

Tanujit Chakraborty working at a data-science workstation with code, statistical visualizations, and computing infrastructure
  • PyPI

    engressionts

    Engression for time series forecasting

    EngressionTS: Probabilistic time series forecasting via Engression
    pip install engressionts
  • PyPI

    anglepy

    Angular Neural Generative Learning via Engression

    ANGLE: Angular Neural Generative Learning via Engression
    pip install anglepy
  • PyPI

    memory-esn

    Long-Memory Echo State Networks

    Reservoir computing diagram with a memory branch for long-range time-series forecasting
    pip install memory-esn
  • PyPI

    genformer

    Deep Generative Transformers

    Layered transformer planes turning sequences of points into a generated grid
    pip install genformer
  • PyPI

    stengression

    Deep Spatiotemporal Engression

    Stacked spatial maps with time, terrain, and hexagonal layers
    pip install stengression
  • PyPI

    imbalanced-spdf

    Shape Penalized Decision Forests for Imbalanced Data Classification

    Decision trees feeding two imbalanced point clouds separated by a boundary
    pip install imbalanced-spdf
  • CRAN

    narfima

    Neural AutoRegressive Fractionally Integrated Moving Average Model

    Autoregressive series passing through a neural block with a long-memory trail
    install.packages("narfima")
  • CRAN

    hybridts

    Hybrid Time Series Forecasting Using Error Remodeling Approach

    Observed series, forecast residuals, and a remodeled hybrid forecast
    install.packages("hybridts")
  • CRAN

    epicasting

    An Ensemble Wavelet Neural Network for Forecasting and Epicasting (EWNet)

    Wavelet series combined through layered filters into an ensemble forecast
    install.packages("epicasting")
  • CRAN

    countts

    Thomson Sampling for Zero-Inflated Count Outcomes

    A prior splitting into count distributions with spike histograms below
    install.packages("countts")