Generate real-time videos conditioned on physical actions from a single image using physics simulation for accurate 3D scene interaction.

Scripts to analyse MC files on LST cluster at La Palma

deep learning tools for cherenkov science

64x64 LED matrix display that shows transit and commute ETAs using CTA, Divvy, and Transit App APIs

Unified trend-following systems implemented in pure NumPy with comprehensive validation and testing. This implementation follows the theoretical framework presented in Sepp & Lucic (2025) "The Science and Practice of Trend-following Systems".

An in-progress project to map Chicago Transit Authority (CTA) REST APIs to Python classes

CTA simulator based on ctools with additional native functionalities

Application to monitor and measure the congestion of Chicago Transit authority trains

Chicago Transit Autority's station and Lines data

Software plugins for EGOPY platform

TableAnnotation is a semantic annotation tool for tables leveraging three steps: table preprocessing, entity lookup and annotation (Cell-Entity Annotation, Column-Type Annotation, Column-Pair Annotation)

Unofficial Chicago Transit Authority SDK for the BusTime API.

Interface to DIRAC for the CTA prototype data analysis pipeline.

Python Client for Chicago Transit Authority

Display CTA train and bus arrival times on an LCD using an Arduino Yun

Live Chicago CTA Train Tracking

Gamma-Ray Event Reconstruction with Uncertainty Models

Minimal code and trained models to recreate the results in the paper 'Deep learning with photosensor timing information as a background rejection method for the Cherenkov Telescope Array' by S. Spencer et al. (2021).

VTK rendering library for CTA