SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
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Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Plain Text - 394 B - MD5: e1c00007200f1f72eba5102e4795d31b
plots.tar.gz
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Gzip Archive - 53.1 MB - MD5: 32c3950f5bfdb10a512a2e571beda75c
Compressed folder containing all generated plots.
plotting.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 29.8 KB - MD5: 3f003b850039681a537beb50a04038b4
README.md
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Markdown Text - 10.7 KB - MD5: 82e3ccaeb32fd5e3c80d16ff9d23b8fb
rename_algs.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 2.1 KB - MD5: 143559340a9f5a739e3696b6b38770c1
requirements_original.txt
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Plain Text - 606 B - MD5: 84f37d69730eca561d54ed4199e97a62
results.tar.gz
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Gzip Archive - 106.2 MB - MD5: 749cc3414a9afa6641f0000159634408
Compressed folder of experimental results generated by run_evaluation.py.
run_evaluation.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 7.6 KB - MD5: e84b76a84439135fd4844ae71ea5f3ee
run_experiments.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 28.1 KB - MD5: afc99693220eb3a22a321d21df5da60b
run_experiments.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 1.5 KB - MD5: 4d96e85724d1b4fdfcdc749ec5b561db
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