PN 6

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

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271 to 280 of 846 Results

RealMLP-HPO_steps.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 128.6 GB - MD5: cecba6379df5f6ba81fcc51e7f087619 DATA
results_small.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 4.2 GB - MD5: 19babc91c7dab580a598551191da968b DATA Results folder (within the data folder) without extra results (predictions on the datasets, optimal hyperparameters).
tasks.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 3.1 GB - MD5: b224a117735d2e56bfd8c1546530a4c2 DATA Downloaded datasets, with restricted access for copyright reasons.
XGB-HPO_steps.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 110.4 GB - MD5: e4671ada3b462010955e4da02dd9687c DATA
hnc_clean_strict_train.json Jul 8, 2024 - Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities JSON - 7.6 GB - MD5: d2ed063924be0ead2b1475deeb001cf6 HNC training set, automatically generated.
hnc_clean_strict_val.json Jul 8, 2024 - Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities JSON - 1.1 GB - MD5: 6fe56c1128fa3615bcd41dd281636578 HNC validation set, automatically generated.
test_set_v1-0.json Jul 8, 2024 - Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities JSON - 411.7 KB - MD5: 22dcb8f1f3ab6497b5c4db5f3d756726 HNC test set, annotated by humans.
Hard Negative Captions(Universität Stuttgart) Jul 3, 2024PN 6-5 (II)
PN 6-5 (II)(Universität Stuttgart) Jul 3, 2024 SimTech Project PN 6-5 (II) "Interpretable and explainable cognitive inspired machine learning systems"
aux_functions.py Jun 18, 2024 - UNITE Toolbox Python Source Code - 1.6 KB - MD5: bae1019ad6ad6c0e05d7e30f8b333ebc

RealMLP-HPO_steps.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 128.6 GB -

DATA

results_small.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 4.2 GB -

DATA

Results folder (within the data folder) without extra results (predictions on the datasets, optimal hyperparameters).

tasks.tar.gz

Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Plain Text - 3.1 GB -