Pinned Repositories
continual-learning-mas-cloning-injection-molding
Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Aware Synapses and Weight Transfer" by Tercan et al., submitted to the Journal of Intelligent Manufacturing
continual-transfer-learning-injection-molding
Code to reproduce the results from the paper "Industrial Transfer Learning: Boosting Machine Learning in Production" by Tercan et al., submitted to the IEEE International Conference on Industrial Informatics, INDIN’19
gideon-replay
Gideon replay is a publicly freely available library that can be integrated into any web application with just a few lines of code to record and replay user interactions such as mouse clicks and keystrokes. Replay can be controlled via a web player interface. This interface shows activity types and idle times as well as an attention heat map. In addition, we enable the export of all interactions for a later analysis. In summary, Gideon provides free, easy tracking of user interactions and significantly reduces the effort required for specified and customized tracking solutions.
karolos
An Open-Source Reinforcement Learning Framework for Robot-Task Environments
plasma
python-plantsim
schlably
Official Schlably Repository by the Institute for TMDT
Time-Series-Dataset-Survey-4-Forecasting-with-Deep-Learning
vc-slam
The VC-SLAM corpus
Vorlesung-Deep-Learning
Vorlesung-DeepLearning
Institute for Technology and Management of the Digital Transformation's Repositories
tmdt-buw/schlably
Official Schlably Repository by the Institute for TMDT
tmdt-buw/karolos
An Open-Source Reinforcement Learning Framework for Robot-Task Environments
tmdt-buw/python-plantsim
tmdt-buw/continual-learning-mas-cloning-injection-molding
Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Aware Synapses and Weight Transfer" by Tercan et al., submitted to the Journal of Intelligent Manufacturing
tmdt-buw/Time-Series-Dataset-Survey-4-Forecasting-with-Deep-Learning
tmdt-buw/continual-transfer-learning-injection-molding
Code to reproduce the results from the paper "Industrial Transfer Learning: Boosting Machine Learning in Production" by Tercan et al., submitted to the IEEE International Conference on Industrial Informatics, INDIN’19
tmdt-buw/plasma
tmdt-buw/gideon-replay
Gideon replay is a publicly freely available library that can be integrated into any web application with just a few lines of code to record and replay user interactions such as mouse clicks and keystrokes. Replay can be controlled via a web player interface. This interface shows activity types and idle times as well as an attention heat map. In addition, we enable the export of all interactions for a later analysis. In summary, Gideon provides free, easy tracking of user interactions and significantly reduces the effort required for specified and customized tracking solutions.
tmdt-buw/vc-slam
The VC-SLAM corpus
tmdt-buw/Vorlesung-Deep-Learning
Vorlesung-DeepLearning
tmdt-buw/CarClass
tmdt-buw/crokodile
Cross-Robot Knowledge Transfer in Deep Reinforcement Learning
tmdt-buw/gideon-ts
Gideon TS is a general purpose semi-automatic labeling tool, which is tailored to the needs of industrial sensor data.
tmdt-buw/mas-cloning-windshield-manufacturing
Code and data to reproduce the main results from the paper "Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning" by Tercan et al., submitted to the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023). The script runs MAS-Cloning (described in the paper) for a fixed sequence of tasks.
tmdt-buw/transfer_learning_injection_moulding_parts
Repository with data and jupyter notebook for transfer learning (pretraining and finetuning) in injection moulding: transfer learning between experimental data from different parts.
tmdt-buw/Decision-Transformer-4-NLS-JSSP
tmdt-buw/Gridworld
tmdt-buw/soh-saliency-maps
tmdt-buw/VQ-VAE-Transformer-Arc-Welding
tmdt-buw/AblationStudies
Code to reproduce the results in Meyes, Richard, et al. "Ablation Studies in Artificial Neural Networks." arXiv preprint arXiv:1901.08644 (2019).
tmdt-buw/asag-demo
tmdt-buw/docsemmap
tmdt-buw/foreCARst
tmdt-buw/gideon
tmdt-buw/gideon-core
tmdt-buw/Vorhersage-Projektilbewegung