GitHub

This Python class addresses Switched Linear Systems optimization exploiting matrix exponential computation and optimizing over controls and switching instants at the same time.

Alternatively, you can create your own virtualenv or conda env and run this package inside it. Remember to install all the required Python packages. The class provides methods to instantiate and solve ...
GitHub

High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching (AISTATS 2025)

Official Python implementation of the paper High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching, published at AISTATS 2025. In this paper, we introduce a ...
Analytics India Magazine

Hands-On Guide to Time Series Analysis using Simple Exponential Smoothing in Python

Time series analysis is studying a particular time series over a particular time period to observe any pattern which can be used to predict future values for that time series. A time series tracks the ...
IEEE

PyMEF — A framework for exponential families in Python

Abstract: Modeling data is often a critical step in many challenging applications in computer vision, bioinformatics or machine learning. Gaussian Mixture Models are a popular choice in many ...