Dit is het vernieuwde OSS-register van de Nederlandse overheid (bèta): alle open source repositories op één plek.
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Gefilterde resultaten
4350 repositories gevonden
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cmdi-form-checker
Checking the editor layout while creating your CMDI profile
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grafana-cli
grafana-cli -
panorama
Datapunt open panorama project
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spr-poc-uncertainty-mapping
A joint model for the estimation of species distributions and environmental characteristics from point-referenced data -
terraform-provider-fsc
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textrepo
Text Repository
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brp-api.github.io
brp-api.github.io -
LDV-import
Repository for checking LDV xml before importing in LDV Triply
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MIM
Metamodel informatiemodellering (MIM): indeling conform register.geostandaarden.nl
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simpleSAMLphp-theme-SURF
SURF simpleSAMLphp theme
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poc-kijkdoos-wasm
Proof of concept to run models from the browser
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poc-algorithm-category-dialog
poc-algorithm-category-dialog
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CPA Service
The CPA Service can be queried by the OSDBK Admin Console to query and manage the CPA database.It also serves as the link between the JMS Consumer and Ebms Core, by providing a matching CPA for a received JMS message.
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OSDBK Admin Console
The CPA Service can be queried by the OSDBK Admin Console to query and manage the CPA database.
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persoonsnamen-index
Persoonsnamen Index
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dowc
DO.W.C. facilitates local viewing and editing of non-local MS Office documents.
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regels.overheid.nl-discourse-theme
This repo contains design code for forum.regels.overheid.nl
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lensGalleyBits
Repository is een git forkOJS3 Plugin for JATS/BITS Galleys with enhanced LENS viewer
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frp-interpreter
Repository is een git forkDeprecated, moved to https://gitlab.com/digilab.overheid.nl/ecosystem/sdg-monorepo
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PBK_Maintenance
MODCMAC This repository contains the code for Multi-Objective Deep Centralized Multi-Agent Actor Critic (MODCMAC) algorithm. The algorithm is implemented in PyTorch and builds upon the work of Jesse van Remmerden found here. ## Installation The dependencies can be installed using the following command: pip install -r requirements.txt ## Running the code The code can be run using the following command: python run_MODCMAC.py [args] The function of each argument can be found by running: python run_MODCMAC.py --help ## Disclaimer The code is a work in progress and is not yet complete.