GitHub
https://github.com/fgnt/paderwasn
Paderwasn is a collection of methods for acoustic signal processing in wireless acoustic sensor networks (WASNs).
quadnetestimationchallenge
Repository of data generated by the quadrature network for the QuadNet Estimation Challenge.
neorv32
🖥️ A small, customizable and extensible MCU-class 32-bit RISC-V soft-core CPU and microcontroller-like SoC written in platform-independent VHDL.
https://github.com/fgnt/pb_chime5
Speech enhancement system for the CHiME-5 dinner party scenario
marl-based-constrained-optimization
Multi-Agent Reinforcement Learning for Distributed Constrained Optimal Resource Allocation
diffesm
Diffusion model software to emulate Earth System Models (ESMs) for daily temperature and precipitation
kahler-1987-shiny
A repository of the source R codes for building the Shiny web-application serving the dataset from "Retro-digitised Enggano-German dictionary derived from Kähler’s (1987) “Enggano-Deutsches Wörterbuch”" (http://dx.doi.org/10.25446/oxford.28540331). Web app 👇.
fair_gatk_mutect2
Snakemake workflow used to call germline and/or somatic variants with GATK Mutect2
globalhackathon2025
Code repository for some scripts used during the global hackathon 2025
https://github.com/fgnt/speaker_reassignment
Once more Diarization: Improving meeting transcription systems through segment-level speaker reassignment
vitaliteit-grove-den
Deze repo bevat de code om de vitaliteit van grove den in te schatten op basis van dronebeelden, orthofoto's en satellietbeelden. Het maakt deel uit van het INBO-ANB SWO project Dennensterfte
refinegems
refineGEMs is a python package inteded to help with the curation of genome-scale metabolic models (GEMS).
https://github.com/fgnt/libriwasn
Tools and scripts for the LibriWASN data set from zenodo
feddistill
Code to reproduce the experiments of the ICLR25 paper "On the Byzantine-Resilience of Distillation-Based Federated Learning"
peu-356-latex
These are my assignments for PEU 356 (Mathematical Physics 2) (Spring 2024) at Zewail City for Science and Technology.
peu-218-latex
These are my assignments for PEU 218 (Vector Calculus) (Spring 2024) at Zewail City for Science and Technology.
https://github.com/fgnt/meeteval_viz
https://fgnt.github.io/meeteval_viz/ Demo pages for meeteval alignment visualization
securibench-micro.js
A Securibench Micro inspired program analysis benchmark for server-side JavaScript
grid-reducer
A repository for performing network reduction in distribution system power flow model.
archaeonatural-ontology
Ontology aiming to describe the data of NFDI4Objects Task Area 3: currently Poseidon, soon ArboDat & Ossobook.
https://github.com/fgnt/sms_wsj
SMS-WSJ: Spatialized Multi-Speaker Wall Street Journal database for multi-channel source separation and recognition
assist-fork
A temporary fork of ASSIST to enable installing data files from PyPI
PartiallySeparableNLPModels
A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl
tracerdensesinglefile
Computations of the cumulants of a tracer's displacement in the dense SEP.
https://github.com/fgnt/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
https://github.com/fgnt/latticewordsegmentation
Software to apply unsupervised word segmentation on lattices or text sequences using a nested hierarchical Pitman Yor language model
https://github.com/fgnt/nhpylm
Python bindings for a c++ based implementation of the Nested Hierarchical Pitman-Yor Language model
article-ai-gov-framework
Webpage supporting the project: "Artificial intelligence in government: Concepts, standards, and a unified framework"
multi-area-model
A large-scale spiking model of the vision-related areas of macaque cortex.
lichen_mapping
For mapping lichen species that are indicators of gaseous nitrogen pollution using open source species occurrence data from the NBN Atlas.
easymda
Python package for easy analysis of MD simulations based on MDAnalysis.
https://github.com/fgnt/chainer
A flexible framework of neural networks for deep learning