Toolbox-lijst
Een overzicht van de "AI toolboxes" gerelateerd aan of ontwikkeld met de steun van het Vlaams AI Onderzoeksprogramma.
Deze lijst is uitsluitend informatief. De eigenaar van de betreffende toolbox is verantwoordelijk voor de inhoud daarvan. Voor de gebruiksvoorwaarden, zie de individuele toolboxes. De partners van het Vlaams AI-Onderzoeksprogramma geven geen garanties met betrekking tot deze toolboxes, zoals maar niet beperkt tot de kwaliteit, toegankelijkheid en toepasbaarheid van de tools.
Tip: Je kunt filteren op de toolboxes per categorie - zie filter boven de tabel
Bootstrapped Dual Policy Iteration: sample-efficient model-free RL with discrete actions
Reinforcement learning
A software for evaluating model calibration, volume bias and a correlation between the two
Supervised learning, Images
A procedure for calculating confidence intervals for the eigendecomposition of covariance matrices.
Un/Semi-supervised learning
Solver for executing constraint Decision Model and Notation (cDMN) models.
Symbolic AI
‘cEASEr’ and ‘Add-EASEr’ algorithms, as presented in the publication ‘Closed-Form Models for Collaborative Filtering with Side-Information’
Recommender systems
Library for unsupervised clustering of large data sets of T cell receptor sequences.
Un/Semi-supervised learning, DNA sequence analysis
Library for semi-supervised clustering using pairwise constraints
Time series, Active learning, Anomaly detection, Un/Semi-supervised learning
Deep Learning and Probabilistic Logic Programming
Probabilistic programming, Networks & Graphs, Supervised learning, Relational databases, Images
Time series distances (DTW, ED), clustering and subsequence search
Time series, Anomaly detection, Un/Semi-supervised learning
‘Dual Bandit’ algorithm, as presented in the publication ‘Joint Policy-Value Learning for Recommendation’
Recommender systems
DUST, the Distributed Uniform STreaming library for distributed artificial intelligence
Distributed Intelligence
A simulation engine for dynamic models of single-cell transcriptomics data.
Single cell, DNA sequence analysis, Networks & Graphs, Un/Semi-supervised learning
