PN 6

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

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621 to 630 of 836 Results

data.tar.gz Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] 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 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] Python Source Code - 26.3 KB - MD5: 0994f8b09885fc142fc3c54edea4af23
feature_data.py Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] Python Source Code - 22.6 KB - MD5: 785739ec720d94ff1adeb439c0535deb
feature_maps.py Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] Python Source Code - 40.9 KB - MD5: 25831a0ce6a523d4e302f932cdf65c69
features.py Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] Python Source Code - 18.7 KB - MD5: 019a3c9aceb9a8fe1ea6a3ba8bfd76bd
framework_details.ipynb Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] Jupyter Notebook - 26.6 KB - MD5: d8a73be3b51ad1963d56b0a200f7cb55
__init__.py Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] Python Source Code - 0 B - MD5: d41d8cd98f00b204e9800998ecf8427e
__init__.py Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] Python Source Code - 0 B - MD5: d41d8cd98f00b204e9800998ecf8427e
layer_features.py Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] Python Source Code - 8.5 KB - MD5: 34c1a1e3fe106a61ed8114a6f2b7d028
layers.py Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] Python Source Code - 3.9 KB - MD5: d5192da1c0f847026a0bb97a8532091e

data.tar.gz

Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

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 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

Python Source Code - 26.3 KB -

feature_data.py

Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

Python Source Code - 22.6 KB -

feature_maps.py

Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

Python Source Code - 40.9 KB -

features.py

Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

Python Source Code - 18.7 KB -

framework_details.ipynb

Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

Jupyter Notebook - 26.6 KB -

__init__.py

Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

Python Source Code - 0 B -

__init__.py

Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

Python Source Code - 0 B -

layer_features.py

Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

Python Source Code - 8.5 KB -

layers.py

Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

Python Source Code - 3.9 KB -

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