PN 6

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

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4,291 to 4,300 of 4,861 Results

main_results.tar.gz Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Plain Text - 260.5 GB - MD5: 147bd2b84a688a65e752a0b93af36424 DATA Detailed results, including predictions on datasets and best parameters, for all main methods. This excludes the data for individual hyperparameter optimization (HPO) steps, which is provided separately.
MLP-RTDL-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 - 126.1 GB - MD5: 07ccbba1805898909d5c75df01fd847d DATA
pytabkit_code.zip Aug 8, 2024 - Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data ZIP Archive - 6.9 MB - MD5: 80e03d81f1beb8a2173d5c38da4f493c Contains the code for running the meta-train and meta-test benchmarks, as well as an implementation of the models evaluated on these benchmarks. Also contains instructions in README.md as well as the documentation.
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.

main_results.tar.gz

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

Plain Text - 260.5 GB -

DATA

Detailed results, including predictions on datasets and best parameters, for all main methods. This excludes the data for individual hyperparameter optimization (HPO) steps, which is provided separately.

MLP-RTDL-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 - 126.1 GB -

DATA

pytabkit_code.zip

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

ZIP Archive - 6.9 MB -

Contains the code for running the meta-train and meta-test benchmarks, as well as an implementation of the models evaluated on these benchmarks. Also contains instructions in README.md as well as the documentation.

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 -