Stuttgart Center for Simulation Science (SC SimTech)

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License: MIT License

1 to 10 of 366 Results

volume_tools.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 30.1 KB - MD5: aace71fb60917dfd7e45c7f6399badbd
Visual Analysis System for Scene-Graph-Based Visual Question Answering Jul 25, 2023 - PN 6-4 Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/darus-3589, DaRUS, V1 Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README.
vgg_keras.py Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Python Source Code - 1.1 KB - MD5: 4aac7f964741bae99ba9334cf1034e45
utils.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 7.3 KB - MD5: 4875bca50c00ab9e317e31af55794020
utils.py May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"" Python Source Code - 2.7 KB - MD5: 71fdd26d5fbf6ecbbcb93afe259e4809
utils.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 5.4 KB - MD5: e031f8dc92eb579663a3121c9919b3ba
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
utils.py Mar 14, 2024 - Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data Python Source Code - 2.1 KB - MD5: 89a9298ba921e36bd227c3d410ca0fab
true_models_helpers.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 400 B - MD5: 94ab6e3d4cddb7df65fe8d3ee5718a4f

volume_tools.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 30.1 KB -

Visual Analysis System for Scene-Graph-Based Visual Question Answering

Jul 25, 2023 - PN 6-4

Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/darus-3589, DaRUS, V1

Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README.

vgg_keras.py

Oct 5, 2021 - Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Python Source Code - 1.1 KB -

utils.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 7.3 KB -

utils.py

May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""

Python Source Code - 2.7 KB -

utils.py

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Python Source Code - 5.4 KB -

utils.py

May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning

Python Source Code - 858 B -

utils.py

May 15, 2023 - deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning

Python Source Code - 1.6 KB -

utils.py

Mar 14, 2024 - Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data

Python Source Code - 2.1 KB -

true_models_helpers.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 400 B -

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