MrtnMndt
DEPTH junior research group leader on Open World Lifelong Learning (owll-lab.com) - Hessian.AI & TU Darmstadt
TU Darmstadt, Hessian.AIFrankfurt Germany
Pinned Repositories
DP-NAS
Implementation of our CVPR-W CLVision paper "Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference"
CLEVA-Compass
Template & code for the Continual Learning EValuation Assessment (CLEVA) Compass
CLAI_unconf
Template website for ContinualAI Unconference
Deep_Openset_Recognition_through_Uncertainty
PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625
DP-NAS
Implementation of our CVPR-W CLVision paper "Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference"
meta-learning-CODEBRIM
Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset".
OpenVAE_ContinualLearning
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Rethinking_CNN_Layerwise_Feature_Amounts
PyTorch implementation of our paper "Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures"
PyMLViz
Interactive machine learning algorithm visualisation using Python Jupyter notebooks
Awesome-Incremental-Learning
Awesome Incremental Learning
MrtnMndt's Repositories
MrtnMndt/Deep_Openset_Recognition_through_Uncertainty
PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625
MrtnMndt/meta-learning-CODEBRIM
Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset".
MrtnMndt/OpenVAE_ContinualLearning
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
MrtnMndt/Rethinking_CNN_Layerwise_Feature_Amounts
PyTorch implementation of our paper "Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures"
MrtnMndt/CLAI_unconf
Template website for ContinualAI Unconference
MrtnMndt/DP-NAS
Implementation of our CVPR-W CLVision paper "Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference"