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A python repository for Automated MRI quantification of volumetric per muscle fat-fractions in the proximal leg of patients with muscular dystrophies

3D-muscle-segmentation

The toolbox enables cost-efficient optimization of manufacturing process design parameters. It achieves this through data-efficient methodologies for sequential experiment design, streamlining and enhancing optimization processes..

ABOT toolbox V2

Adhesive Bonding Optimization Toolbox with Uncertainty and Feasibility constraints

ABOT-FU

The all-in-one toolkit for multi-agent experiments on emergent communication

Babel

Bootstrapped Dual Policy Iteration: sample-efficient model-free RL with discrete actions

BDPI

Local explainability tool for Random (Survival) Forest predictions

BELLATREX

A Python package for fairness metrics in language models

Biased-rulers

Active learning based workflow for automated 3D-EM segmentation

BioSegment

A software for evaluating model calibration, volume bias and a correlation between the two

Calibration and Bias

Exposing Algorithmic Bias with Canonical Sets

Canonical_sets

Loading and scrubbing of data XML files exported from Canon OCT-A1 machine.

Canon OCT data processing

Solver for executing constraint Decision Model and Notation (cDMN) models.

cDMN-solver

&lsquo;cEASEr&rsquo; and &lsquo;Add-EASEr&rsquo; algorithms, as presented in the publication &lsquo;Closed-Form Models for Collaborative Filtering with Side-Information&rsquo;

cEASEr & Add-EASEr

A procedure for calculating confidence intervals for the eigendecomposition of covariance matrices.

CI-EIG

Library for unsupervised clustering of &nbsp;large data sets of T cell receptor sequences.

ClusTCR

Library for semi-supervised clustering using pairwise constraints

COBRAS

(PyPI-installable) Python package for time series anomaly detection.

Contextual Performance Profiling and Anomaly Detection

A library implementing the DASF algorithmic framework for solving linear signal or feature fusion optimization problems in a distributed setting, where different signal- or feature dimensions of each sample are spread across the nodes of a network.
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DASF

A Python-based deep learning framework for multi-target prediction

DeepMTP

Deep Learning and Probabilistic Logic Programming

DeepProbLog

DeepStochLog is a neuro-symbolic framework that combines grammars, logic, probabilities and neural networks.&nbsp;

DeepStochLog

A Python library to&nbsp; implement deep learning pipelines for medical applications using convolutional neural networks (CNNs).

DeepVoxNet2 

Interface for user-friendly and interactive execution of DMN

DMN-IDP

API for user-friendly and flexible execution of DMN.

DMN-IDPy

Time series distances (DTW, ED), clustering and subsequence search

DTAIDistance

&lsquo;Dual Bandit&rsquo; algorithm, as presented in the publication &lsquo;Joint Policy-Value Learning for Recommendation&rsquo;

Dual Bandit algorithm

DUST, the Distributed Uniform STreaming library for distributed artificial intelligence

DUST

A simulation engine for dynamic models of single-cell transcriptomics data.

dyngen

A Python/C++ library which provides a centralized repository with analytical and numerical methods to study/model game theoretical problems under the Evolutionary Game Theory (EGT) framework.

EGT-tools

Library for evaluation of graph representation learning methods.

EvalNE

Algorithm for the detection of &ldquo;events of interest&rdquo; in time series

EventNet

A self-organizing map based approach for the automated analysis of cytometry data.

FlowSOM

Library for shapelet extraction from time series using a genetic algorithm.

GENDIS

Library for Bayesian optimization and active learning (only for Tensorflow 1.x)

GPFlowOpt

Multi-objective hyperparameter optimization with performance uncertainty

GP-TPE

A gym environment for a compartment model modelling the first COVID wave in Belgium.

gym-covid

A software suite and a web application for labelling and managing HSI datasets, and training different deep learning models on these datasets.

HSIToolbox

A multi-inference engine for the FO(.) knowledge representation language

IDP-Z3

A decision support tool using knowledge expressed in the FO(.) language.

Interactive Consultant

This toolbox enforces your Pytorch model to have correct local post-hoc explanations

Interactive eXplainable Artificial Intelligence (IXAI)

Sensor fusion technique for laser-based 3D print monitoring, including scripts for spatiotemporal data synchronization;

LaserMon Toolbox

Library for discovery of inconsistencies and outliers

ledc-dino

Code for learning local image descriptors with autoencoedrs and variational autoencoders

LIDAV

Long Short-term Cognitive Network (LSTCN) model for time series forecasting

LSTCN

Scalable Bayesian factorization with high-dimensional side information using MCMC

MACAU

Toolbox for solving systems of multivariate polynomial equations and rectangular multiparameter eigenvalue problems

MacaulayLab

Library for multi-objective reinforcement learning environments

MO-Gym

Open source Python library for developing and comparing multi-objective multi-agent reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API.

MOMAland

Gym Reinforcement Learning environment for ROS robots, with MoveIT planner and safety layer

MoveRL

Toolbox containing several MAS environments, allowing to compare different algorithms

Multi-agent systems toolbox

Task and motion planning workflow with optimistic reinforcement learning-based skill insertions

ORL-TAMP

Solver for executing probabilistic Decision Model and Notation (pDMN) models.

pDMN-solver

Code for calibration of trained segmentation models using platt scaling, fine tuning and simple convolutional auxiliary networks&nbsp;

PostTrainCalibration

Code to perform super-resolution on structural MRI using fine-tuned convolutional neural networks.

PRETTIER-MRI

ProbLog

A Library for data analysis using STAD (Simplified Topological Abstraction of Data) networks.

pystad

Algorithm for classification of kidney transplant pathology

RejectionClass

RobBERT is the state-of-the-art Dutch BERT language model.

RobBERT

Recursive Gradient Attack on Privacy

R-GAP

Package designed for analysis and exploration of single-cell RNA-seq datasets.

Severo

Using SHACL constraint language for a novel use of shapes, by which a set of shapes is used to extract a subgraph from an RDF graph, the so-called shape fragment.

Shape Fragments

Reinforcement learning agents as a web service

Shepherd

Multiobjective Ranking and Selection Using Stochastic Kriging

SK-MOCBA

Real-world extreme edge prototype to train an LLM (Large Language Model) on personal data in an extreme edge network at people&rsquo;s home.

Solid-RAG toolbox

Fast and accurate machine learning model for small molecules

SparseChem

Visualisation technique to display topological information in high-dimensional data

STADI

Tool for hardware-mapping design space exploration of deep learning accelerators

Stream

Code for deep image hashing based on twin-bottleneck architecture with variational autoencoders.

TBH-VAE

A reproducible research repository for tensor computations

Tensorlab+

An autoencoder-based change point detection algorithm for time series data that uses a TIme-Invariant Representation (TIRE).

TIRE

Library for Bayesian optimization and active learning

Trieste

Python package for automatically constructing features from multi-view time series data.

TSFuse

Veritas is a versatile verification tool for tree ensembles. You can use Veritas to generate adversarial examples, check robustness, find dominant attributes or simply ask domain specific questions about your model.

Veritas

Notebooks for a practical session on training a digit classifier and using it to solve visual Sudok's

Visual Sudoku

Jupyter notebook and Python library to demonstrate the use of word prediction using deep learning as an aid in historical linguistics.

Word Prediction in Computational Historical Linguistics

Hardware architecture (HW)-mapping design space exploration (DSE) framework for deep learning (DL) accelerators.&nbsp;

ZigZag

An overview of&nbsp; "AI toolboxes" linked to or developed with support of the Flanders AI Research Program.&nbsp; &nbsp;
The list is provided for information purposes only. The owner of the toolbox is responsible for the content thereof. For conditions of use, check the individual toolboxes. The partners of the Flanders AI Program make no warranty of any kind with regard to these toolboxes, including but not limited to the quality, accessibility or applicability of the tools.
Tip: You can filter on the toolboxes per category - see filter on top of the table.