Alexandra Institute (@alexandrainst)
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Top repositories

1

danlp

DaNLP is a repository for Natural Language Processing resources for the Danish Language.
Python
191
star
2

processing_websockets

A web socket library, including both server and client, for Processing
HTML
88
star
3

responsible-ai

Responsible AI knowledge base
77
star
4

alexandra-trackmap-panel

Grafana map plugin to visualise coordinates as markers, hexbin, ant path, or heatmap.
TypeScript
76
star
5

node-red-contrib-postgresql

Node-RED node for PostgreSQL, supporting parameters, split, back-pressure
HTML
28
star
6

ckanext-realtime

Build realtime apps with CKAN
Python
27
star
7

node-red-contrib-json-multi-schema

Generic Node-RED nodes for a JSON data pipeline, suitable for continuous/streaming input, and with dynamic configuration
JavaScript
9
star
8

node-red-contrib-ui-upload

Node-RED Dashboard UI widget node for uploading a file content by Socket.io streaming
JavaScript
8
star
9

alexandra_ai_eval

Evaluation of finetuned models.
Python
8
star
10

alexandra_ai

A Python package for Danish data science.
Python
7
star
11

hatespeech

Hatespeech detection based on DR Facebook data
Python
6
star
12

node-red-contrib-mock-cli

A Node.js module to allow running Node-RED nodes from command-line
JavaScript
6
star
13

d3a-llm-workshop

This repository contains resources pertaining to the Danish Foundation Models workshop on Danish LLMs at the D3A conference, which was held by the Alexandra Institute and the Center for Humanities Computing at Aarhus University.
Jupyter Notebook
6
star
14

arip

Awesome real-time IoT platform
JavaScript
5
star
15

node-red-contrib-chunks-to-lines

Node-RED node to read line by line from a stream of chunks of text.
JavaScript
5
star
16

coral

Danish ASR and TTS models associated with the CoRal project.
Python
5
star
17

alexandra-ml-template

Template for Python-based data science projects in the Alexandra Institute.
Makefile
4
star
18

node-red-contrib-parser-ini

Node-RED node to parser/serialize INI configuration files
HTML
3
star
19

TSAnomaly

Anomaly detection for time series data.
Python
3
star
20

AIAI-data

Accessing external data sources.
Python
2
star
21

m_mmlu

Python
2
star
22

ScandiReddit

Construction of a Scandinavian Reddit dataset.
Python
2
star
23

AIAI-deploy

Deployment and monitoring of machine learning models.
Python
2
star
24

ScandiNLI

Natural language inference models for the Scandinavian languages (da, sv, nb).
Python
2
star
25

php-xlsx-fast-editor

PHP library to make basic but fast read & write operations on existing Excel workbooks
PHP
2
star
26

fresco-stat

Library for secure computation of statistics using the FRESCO framework
Java
2
star
27

AIAI-anon

Anonymization and pseudonymization of texts.
Python
2
star
28

AIAI-train

Finetuning machine learning models.
Python
2
star
29

alexandra_ai_data

Easy access to Danish data sources.
Python
1
star
30

node-red-http-basic-auth

Node-RED node for HTTP Basic Auth
HTML
1
star
31

node-red-contrib-opensearch

Node-RED node for OpenSearch
HTML
1
star
32

DanskeTestfaciliteter

Videreudvikling af https://github.com/Erhvervsfremmeplatformen/DigitalDanmarkskort
Vue
1
star
33

torch-trandsforms

A pytorch-first transform library for ND data, such as multi-channel 3D volumes
Python
1
star
34

iot-mapper-transformer

List of reusable IoT data transformations
1
star
35

ScandiQA

Scandinavian question-answering models and datasets.
Python
1
star
36

dronedemo

A repository with all the tools you need to develop and build drone software/services relying on OpenCV and Tensorflow
Python
1
star
37

tts_text

Code for collection/generation of text for tts data collection
Python
1
star
38

aidk-mqtt-demo

MQTT demo in Node.js with Docker
JavaScript
1
star
39

translation_eval

1
star
40

NordjyllandNews

Dataset containing news from Northern Jutland in Denmark.
Python
1
star
41

3dmap

3D visualization map with the possibility of overlaying geocoded real-time (and historic) data
JavaScript
1
star
42

AffectiveComputingKnowledgeExchange

This repository is a collection of datasets, models and approaches for affective computing. The goal is to provide a comprehensive overview of the current state of the art in the field of multimodal affect computing with a focus on emotion extraction from different modalities.
1
star