Showing 7 of 7 projects
A Python library for user-friendly forecasting and anomaly detection on time series, from ARIMA to deep neural networks.
A JavaScript library for fast n-dimensional filtering and grouping of large multivariate datasets in the browser.
A Julia package for multivariate statistics and data analysis, including dimension reduction techniques like PCA and LDA.
A PyTorch-based Python package for deep and machine learning analysis of microscopy data, designed for domain scientists.
A powerful high-level data visualization system for R, inspired by Trellis graphics, with emphasis on multivariate data and conditioning.
A Python package for generating multidimensional synthetic data using Copula and fPCA models to preserve statistical properties.
A Julia package for regularized linear and quadratic discriminant analysis (LDA/QDA) classification.
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