448 datasets found

A dataset of sampled robot configurations and associated ground-truth labels required for training the VAE and the performance predictors.

The dataset contains time series data for over 300,000 batteries, including different chemistries, cell capacities, and manufacturers.

Real-world operating data from battery systems in the field may be used to detect end-of-life failure before it happens, improving maintenance, value, safety and customer...

A financial report dataset

A named entity recognition dataset

A three-dimensional retinal image denoising task using GraphLab

Discriminative calibration for Bayesian computation, applicable to MCMC, variational and simulation based inference, or even their ensembles.

The JARVIS-ML database contains machine learning models for predicting material properties.

The Parameter, Compute and Data Trends in Machine Learning (PCD) database.

The dataset of publications affiliated with the top 25 companies by affiliations with the top-100,000 most cited AI and ML works, and notable ML systems.

The dataset used for building detection using machine learning.

The dataset used in this paper is a multidimensional cascade neural network with neuron pool optimization in each cascade.

Labeled dataset of hotspots/wildfires and not-hotspots/not-wildfires

The dataset used in the paper is a collection of linear regression models with varying dimensions of posterior.

The dataset used in the paper is a stochastic optimal control problem, where the goal is to drive the behavior of a noisy system.

A 3D procedural dataset for X-Ray Computed Tomography and Machine-Learning

The dataset used in this paper for analyzing the memory cost of three machine learning algorithms: transformers, spatial convolution, and FFT.

The dataset used in this paper is a collection of lattice QCD simulations, specifically the three-point correlation function data of nucleon vector and axial-vector charges.

The dataset used in this paper is a collection of high-dimensional observation data from cameras and LiDAR, used for training a world model.

Recent years have seen many successful applications of machine learning (ML) to facilitate fluid dynamic computations. As simulations grow, generating new training datasets for...