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Python implementation of data-based estimation of critical time steps for exp...
This is a demo for the manuscript 'Data-based estimation of critical time steps for explicit time integration' that demonstrates data-driven approaches for 2D-element time step... -
Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dyn...
This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy... -
OncoTUM models
OncoTUM models <p> This repository hosts pretrained neural network models for <a href="https://github.com/masud-src/OncoTUM" target="_blank">OncoTUM</a>,... -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", specifically, the NeurIPS version which is also... -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". The main code is provided in pytabkit_code.zip... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
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... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
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... -
Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dyn...
This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy... -
OncoTUM models
OncoTUM models <p> This repository hosts pretrained neural network models for <a href="https://github.com/masud-src/OncoTUM" target="_blank">OncoTUM</a>,... -
Python implementation of data-based estimation of critical time steps for exp...
This is a demo for the manuscript 'Data-based estimation of critical time steps for explicit time integration' that demonstrates data-driven approaches for 2D-element time step... -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", specifically, the NeurIPS version which is also... -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees...
This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". The main code is provided in pytabkit_code.zip... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
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... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
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...
