Software

Homepage: https://libertem.github.io/LiberTEM-liveGitHub repository: https://github.com/LiberTEM/LiberTEM-livePyPI: https://pypi.org/project/libertem-live/ LiberTEM-live is an extension module for LiberTEM that allows live data processing. Note LiberTEM-live is still experimental and under active development, including the overall architecture. [...]

Homepage: https://libertem.github.io/LiberTEM/GitHub repository: https://github.com/LiberTEM/LiberTEM/PyPI: https://pypi.org/project/libertem/ LiberTEM is an open source platform for high-throughput distributed processing of large-scale binary data sets and live data streams using a modified MapReduce programming model. The current focus is pixelated scanning transmission electron microscopy (STEM) [MacLaren et al. [...]

This repository contains the code and data accompanying the manuscript 'Learning sequence timing and control of replay speed in networks of spiking neurons'. It includes simulation scripts for generating the data, as well as plotting scripts for reproducing all figures in the manuscript..

Minion is a high-performance derivative-free optimization library designed for solving complex optimization problems where gradients are unavailable or unreliable. It implements state-of-the-art evolutionary algorithms, including top-performing methods from IEEE CEC competitions, which are often missing in standard optimization libraries such as SciPy, NLopt, OptimLib, pyGMO, and pagmo2.Minion is not only a solver but also a research platform for developing and testing new optimization algorithms [...]

Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere. This repository hosts MPTRAC version 3.0, as described in: Hoffmann et al. [...]

The Metadata Archivist is a simple framework to process multiple heterogenous input files and unify the parsed information into a singular structured output. Users must define their own parsing procedures, then with a convenience class offered by our framework, orchestrate exploration the exploration of a given directory or archive, filtering of files to process, parse and optionally structure the target, lastly export the output to a selected format..

This archive contains an example implementation of a knowledge generation workflow. Here the questions to answer relate to benchmarking and validation of a given simulator and model. [...]

Code for From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning This repository contains the code accompanying the paper: Rubin, N., Fischer, K., Lindner, J., Dahmen, D., Seroussi, I., Ringel, Z., Krämer, M., Helias, M. From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning (arxiv 2502.03210). [...]

Data, simulations, python code to generate figures and supplementary figures used in the publication Schutzeichel, Bauer, Bouss, Musall, Dahmen, Helias (2025) Recurrent dynamics underlying transient neural representations. bioRxiv. [...]