SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"
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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
Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Jun 20, 2022
Holzmüller, David; Steinwart, Ingo, 2022, "Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent", https://doi.org/10.18419/DARUS-2978, DaRUS, V1
This data set contains code used to generate figures and tables in our paper "Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent". The code is also available on GitHub. Information on the code and installation instructions can be found in the file README.md.
custom_paths.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 58 B - MD5: 2b8520afbcb24f93040273f4edfee4b7
eval_nn_setups.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 19.2 KB - MD5: 06303383461187b4df57f1e6a54afb12
eval_star_dataset.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 2.0 KB - MD5: 49e899167f27aa3a56082814c8446a2a
LICENSE
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Plain Text - 11.1 KB - MD5: 620a9251fad92ed98289fc61c7ee3681
mc_event_estimation.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 4.7 KB - MD5: 81fe6dd140e7b4020884a3af4f310285
mc_plotting.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 5.9 KB - MD5: a945f74f987c58d0cd7e8f5410390a11
mc_sgd_keras.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 8.7 KB - MD5: 22e33f1b8fb56e9bce0f56ad0386afea
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