PN 6

SimTech EXC 2075 Project Network 6 "Machine learning for simulation"

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461 to 470 of 846 Results

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
data.py Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Python Source Code - 15.4 KB - MD5: e18fb1dc9fb68dce760ed0c551fcc752
data.tar.gz Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Gzip Archive - 1011.3 MB - MD5: 2b34cf7ecdb8fa51046ade430586c22e Compressed folder containing downloaded raw and processed data sets as generated by download_data.py at the time of running the experiments.
download_data.py Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Python Source Code - 100 B - MD5: 353b895af409509f39196e5f1ee4d0c4
download_data.py Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Python Source Code - 26.2 KB - MD5: e12001c1a9442151785319d897a58cbf
feature_data.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: 451a112823f48b4ed92f31abff52fb2f
feature_maps.py Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Python Source Code - 41.1 KB - MD5: 5913dbaaf9b63a892bed40e6553ff5d3
features.py Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Python Source Code - 19.2 KB - MD5: cd95fa92da55e67634ad61b86be44ffc

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 -

data.py

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

Python Source Code - 15.4 KB -

data.tar.gz

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

Gzip Archive - 1011.3 MB -

Compressed folder containing downloaded raw and processed data sets as generated by download_data.py at the time of running the experiments.

download_data.py

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

Python Source Code - 100 B -

download_data.py

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

Python Source Code - 26.2 KB -

feature_data.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 -

feature_maps.py

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

Python Source Code - 41.1 KB -

features.py

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

Python Source Code - 19.2 KB -

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