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1,441 to 1,450 of 1,647 Results
test_metrics.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 1.3 KB - MD5: 06511ff98b98bf98f679c33b1179556c
test_pipeline.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 17.2 KB - MD5: 0a2c2a169159ea62664dfc2a6155aede
training.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 1.8 KB - MD5: 6dcaea21954533babca4485ab68ff3c5
utils.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 858 B - MD5: dfab9a18386d757cb2754359f829ef2f
utils.py
May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 1.6 KB - MD5: 7aeab929b009e68f9371f32ba28e7608
Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
May 15, 2023 - PN 4-7
Baier, Alexandra; Aspandi, Decky; Staab, Steffen, 2023, "Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""", https://doi.org/10.18419/DARUS-3457, DaRUS, V1
This repository contains the necessary scripts to reproduce the results from our paper "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks". See the README file for more information. The most current version of this software is available on Github.
explain_best_models_industrial_robot.py
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Python Source Code - 1.4 KB - MD5: 38d98ca50ea8ad61f08426d7511b0414
explain_best_models_ship_ind.py
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Python Source Code - 1.4 KB - MD5: 2d58719d376f1d75dfde0bc058264b78
explain_best_models_ship_ood.py
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Python Source Code - 1.4 KB - MD5: 845ee90d93221bdfeac580ca741f7487
explanations.ipynb
May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""
Jupyter Notebook - 56.6 KB - MD5: 1d1660b87316fd155494dbc5772c73cf
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