Characterization of Germline variants

Toolset for control, calibration and characterization of physical systems

Characterization of relational table embeddings (VLDB 2024).

Microprobe: Microbenchmark generation framework

These codes, based on EMVA Standard 1288, are intended to facilitate the characterization of cameras and image sensors.

A Simple Approach for Unraveling Optoelectronic Processes in Organic Solar Cells under Short‐Circuit Conditions

Python implementation of an FFT neural network to predict the size of small particles based on their two-dimensional light scattering patterns.

PICA (Python-based Instrument Control and Automation) is a modular, open-source software suite designed to automate advanced transport measurements for electronic devices and material samples. It serves as a robust software platform that enables advanced high‑precision characterisation of materials.

MOCHA: a tool for MObility CHaracteristics Analysis

neural network for phase retrieval from attosecond streaking traces

Characterization of the Gpixel GSPRINT4521 CMOS Image Sensor

An extensible imaging system simulation library utilizing an MTF and image chain approach.

Machine learning-powered characterization of lipid nanoparticles (LNPs) using physics-based simulations and SAXS analysis. Our CNN and ResNet models enable rapid, cost-effective classification and size distribution prediction, offering an alternative to cryo-EM for nanomedicine applications.

This code trains and implements a characterization framework based on deep learning for characterizing structural states of colloidal self-assembly systems.

Quickly annotate/label your data using jupyter widgets and pandas.

This repository contains tools for automated detection of radio sources in the LoTSS DR2 field using YOLO-CIANNA method.

🗑️Detects and classifies waste items in images into predefined categories using AI-powered image analysis.