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TinyImagenet dataset
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used TinyImagenet dataset for pre-training the embedding functions. -
CIFAR-10, CIFAR-100, and STL-10 datasets
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, and STL-10 datasets for training and testing the... -
eICU Collaborative Research Database
The eICU Collaborative Research Database is a multi-center dataset collated from 208 care centers in the United States, available through PhysioNet. It comprises 200,859 patient... -
Esophageal Virtual Disease Landscape using Mechanics-Informed Machine Learning
The dataset used in this paper is a collection of esophageal motility data from patients with various esophageal disorders, including achalasia, eosinophilic esophagitis, and... -
Georeferencing of Photovoltaic Modules from Aerial Infrared Videos using Stru...
Aerial IR videos of photovoltaic plants for automatic extraction and georeferencing of PV modules -
Car Evaluation dataset
The Car Evaluation dataset is used to predict whether a vehicle's value is acceptable with typical vehicle features. -
TIMBERTREK
The COMPAS recidivism dataset is used to explore the relationship between diverse variables and the risk of criminal recidivism. -
Shiba et al. dataset
The dataset used in Shiba et al. 2022, Botan: Bond targeting network for prediction of slow glassy dynamics by machine learning relative motion. -
Bapst et al. dataset
The dataset built by Bapst et al. in It is obtained from molecular dynamics simulations of an 80:20 Kob-Andersen mixture of N = 4096 particles in a three-dimensional box with... -
Implicit Regularization of SGD with Preconditioning for Least Square Problems
The dataset used in the paper is a least squares regression problem instance. -
Next Day Wildfire Spread
A curated, large-scale, multivariate data set of historical wildfires aggregating nearly a decade of remote-sensing data across the United States. -
Simulated dataset
The dataset used in this paper is a simulated dataset with 200 variables and 50 observations. The variables are generated from a multivariate normal distribution with a... -
Chaotic Multiscale System
The dataset is used to test the proposed generalized residue network (gResNet) framework for learning unknown governing equations from observational data. -
Nonlinear ODE Systems
The dataset is used to test the proposed generalized residue network (gResNet) framework for learning unknown governing equations from observational data. -
Linear ODE Systems
The dataset is used to test the proposed generalized residue network (gResNet) framework for learning unknown governing equations from observational data. -
Unknown Dynamical Systems
The dataset is used to test the proposed generalized residue network (gResNet) framework for learning unknown governing equations from observational data. -
Breast Cancer Diagnosis Using Machine Learning Techniques
Breast cancer is one of the most threatening diseases in women’s life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient’s life.... -
Lit-pcba: an unbiased data set for machine learning and virtual screening
The LIT-PCBA dataset contains experimentally confirmed active and inactive compounds for 15 targets. -
MNIST and CIFAR-10 datasets
The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions.
