SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
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Plain Text - 124 B - MD5: 47aeb495fcff06691708ae2515da5e49
Python Source Code - 11.2 KB - MD5: 73b9c67f5a7a2513bee4c2b93e33e34c
Python Source Code - 20.0 KB - MD5: 92dd31d212970c4a430d131855d5631d
Python Source Code - 2.9 KB - MD5: 44757495ab97921515a4296648fed8a3
Apr 13, 2022
Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2022, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]", https://doi.org/10.18419/DARUS-2615, DaRUS, V1
This dataset contains code and data for our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Active Learning problems. The code is also available on GitHub. Information on the code can be found...
Python Source Code - 26.1 KB - MD5: 135174e733df1a4b2987aa0cb450c4a3
Python Source Code - 22.1 KB - MD5: 50ac2de7ed2628a62f3ea8727751e027
Jupyter Notebook - 111.5 KB - MD5: 96b0ac084968162443906c31b9a16dbf
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