Pinned Repositories
lcdb
TUDelft_GameJam_2015_TAB
Game made during the first TU Delft GameJam in 2015.
AI_minor_Capstone
Education materials of TU Delft course [TI3150TU] Capstone Applied AI project
coronaNL
Corona Exponential Fit For Any Country using Latest Data
ill-behaved-learning-curves
This repository contains the code to reproduce all the figures in our paper: The Shape of Learning Curves: a Review, T J Viering, M Loog, arxiv 2021.
monotone
This repository contains the code to reproduce all of the results in our paper: Making Learners (More) Monotone, T J Viering, A Mey, M Loog, IDA 2020.
NuclearDiscrepancy
This repository contains the code to reproduce all of the results in our paper: Nuclear discrepancy for single-shot batch active learning, Tom J Viering, Jesse H Krijthe, Marco Loog, in Machine Learning 2019.
RiskMonotonicity
This repository contains the code to reproduce all of the results in our paper: Minimizers of the Empirical Risk and Risk Monotonicity, Marco Loog, Tom Viering, Alexander Mey, in NeurIPS 2019.
teachingtolie
py_experimenter
The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results in a unified manner in a database.
tomviering's Repositories
tomviering/monotone
This repository contains the code to reproduce all of the results in our paper: Making Learners (More) Monotone, T J Viering, A Mey, M Loog, IDA 2020.
tomviering/NuclearDiscrepancy
This repository contains the code to reproduce all of the results in our paper: Nuclear discrepancy for single-shot batch active learning, Tom J Viering, Jesse H Krijthe, Marco Loog, in Machine Learning 2019.
tomviering/coronaNL
Corona Exponential Fit For Any Country using Latest Data
tomviering/ill-behaved-learning-curves
This repository contains the code to reproduce all the figures in our paper: The Shape of Learning Curves: a Review, T J Viering, M Loog, arxiv 2021.
tomviering/RiskMonotonicity
This repository contains the code to reproduce all of the results in our paper: Minimizers of the Empirical Risk and Risk Monotonicity, Marco Loog, Tom Viering, Alexander Mey, in NeurIPS 2019.
tomviering/AI_minor_Capstone
Education materials of TU Delft course [TI3150TU] Capstone Applied AI project
tomviering/teachingtolie