Stuttgart Center for Simulation Science (SC SimTech)

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22,301 to 22,310 of 25,353 Results

ns_incom_inhom_2d_512-273.h5 Apr 18, 2023 - PDEBench Datasets Hierarchical Data Format - 9.2 GB - MD5: e5e51712cc8921fcc4e89b9fe4690c7f
ns_incom_inhom_2d_512-274.h5 Apr 18, 2023 - PDEBench Datasets Hierarchical Data Format - 9.3 GB - MD5: 5a3ea4a7cdeade672038ffdbf3a7886a
ns_incom_inhom_2d_512-49.h5 Apr 18, 2023 - PDEBench Datasets Hierarchical Data Format - 9.2 GB - MD5: 2235dd8e60d0d43b49aba99819ddb8d3
ns_incom_inhom_2d_512-4.h5 Apr 18, 2023 - PDEBench Datasets Hierarchical Data Format - 9.2 GB - MD5: 306a56ac14ea5686921cbb3f09c7dcb6
algorithms.py Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Python Source Code - 26.9 KB - MD5: 8992d130a29ce591cf770f831365e711
analysis.py Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Python Source Code - 24.0 KB - MD5: e7e55610a01b7baf79167d03185187bb
benchmark.ipynb Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Jupyter Notebook - 116.3 KB - MD5: b64ba74944c8c63b6cdbcb5c3f3c3ca5
check_task_learnability.py Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Python Source Code - 3.4 KB - MD5: 145530092e17ac5242b1395550fde713
custom_paths.py Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Python Source Code - 765 B - MD5: a795511ba49a289abf2544960864bec4
custom_paths.py.default Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Unknown - 680 B - MD5: 59cf295649a62521f8cb575c1538a133

ns_incom_inhom_2d_512-273.h5

Apr 18, 2023 - PDEBench Datasets

Hierarchical Data Format - 9.2 GB -

ns_incom_inhom_2d_512-274.h5

Apr 18, 2023 - PDEBench Datasets

Hierarchical Data Format - 9.3 GB -

ns_incom_inhom_2d_512-49.h5

Apr 18, 2023 - PDEBench Datasets

Hierarchical Data Format - 9.2 GB -

ns_incom_inhom_2d_512-4.h5

Apr 18, 2023 - PDEBench Datasets

Hierarchical Data Format - 9.2 GB -

algorithms.py

Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]

Python Source Code - 26.9 KB -

analysis.py

Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]

Python Source Code - 24.0 KB -

benchmark.ipynb

Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]

Jupyter Notebook - 116.3 KB -

check_task_learnability.py

Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]

Python Source Code - 3.4 KB -

custom_paths.py

Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]

Python Source Code - 765 B -

custom_paths.py.default

Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]

Unknown - 680 B -

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