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examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fsda icon fsda

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

gesturebot icon gesturebot

The official code for our paper "A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents", published as a demonstration at AAMAS 2021.

gluon-ts icon gluon-ts

Probabilistic time series modeling in Python

hassle-gen icon hassle-gen

Code and data for our paper: Senne Berden, Mohit Kumar, Samuel Kolb, and Tias Guns (2022): Learning MAX-SAT Models from Examples using Genetic Algorithms and Knowledge Compilation, CP 2022

hassle-gen-1 icon hassle-gen-1

This repository contains the code for our paper: Senne Berden, Mohit Kumar, Samuel Kolb, and Tias Guns (2022): Learning MAX-SAT Models from Examples using Genetic Algorithms and Knowledge Compilation, CP 2022

kge icon kge

Some papers on Knowledge Graph Embedding(KGE)

klcpd_code icon klcpd_code

Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)

life-lessons icon life-lessons

A dataset of first-person monologue videos/transcript/annotations about "life lessons" in various domains. The main purpose is for multi-modal language analysis and modeling.

minirocket icon minirocket

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

msmc-im icon msmc-im

A tool for estimating time-dependent migration rates based on cross-/within-population coalescent rates from MSMC

nlptutorial icon nlptutorial

A Tutorial about Programming for Natural Language Processing

nova icon nova

NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.

only-noisy-training icon only-noisy-training

A self-supervised speech denoising strategy named Only-Noisy Training (ONT), which solves the speech denoising problem with only noisy audio signals in audio space for the first time.

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