Found 308 datasets matching "learning models".
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The open dataset, software, and other files accompanying the manuscript "An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty...
Search relevance: 155.97 | Views last month: 0 -
ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using...
Search relevance: 128.72 | Views last month: 0 -
This model archive contains the input data, model code, and model outputs for machine learning models that predict daily non-tidal stream salinity (specific conductance) for a network of 459...
Search relevance: 124.20 | Views last month: 0 -
This is the supporting data used to train machine learning models used by the National Earthquake Information Center to improve pick times and classify source characteristics.
Search relevance: 119.63 | Views last month: 4 -
A series of machine learning (ML) models were developed for Minnesota. The ML models were trained and tested using suspended sediment, bedload, streamflow, and geospatial data to predicted...
Search relevance: 105.91 | Views last month: 0 -
Data and preliminary machine-learning models used to predict manganese and 1,4-dioxane in groundwater on Long Island are documented in this data release. Concentration data used to develop the...
Search relevance: 100.14 | Views last month: 1 -
Due to the increasing diversity of organic contaminants discharged into anoxic water environments, reactivity prediction is necessary for chemical persistence evaluation for water treatment and...
Search relevance: 92.23 | Views last month: 1 -
The Delaware River Basin (DRB) covers portions of five states (Delaware, Maryland, New Jersey, New York, and Pennsylvania) and several geologic provinces, encompassing much of the complex geology...
Search relevance: 87.02 | Views last month: 0 -
Meta learning with LLM: supplemental code for reproducibility of computational results for MLT and MLT-plus-TM. Related research paper: "META LEARNING WITH LANGUAGE MODELS: CHALLENGES AND...
Search relevance: 84.88 | Views last month: 0 -
This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The...
Search relevance: 79.48 | Views last month: 0 -
The dataset include hydroclimate and ambient environmental as the input data and Cyanobacterial HABs Index (CI) calculated from satellite imageries as the output data altogether used to train and...
Search relevance: 78.20 | Views last month: 5 -
This dataset includes the learning models (in-person, hybrid, and remote) by grade level by public school district during a given week of the 2020-2021 school year. When an asterisk is...
Search relevance: 67.32 | Views last month: 0 -
<p>This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature.</p>
Search relevance: 66.50 | Views last month: 0 -
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission...
Search relevance: 58.63 | Views last month: 0 -
Real-time, image-based monitoring for stored product insect pests could increase timely treatments and protection for postharvest products throughout the supply chain. Artificial intelligence (AI)...
Search relevance: 56.19 | Views last month: 1 -
High-resolution elevation data provide a foundational layer needed to understand regional hydrology and ecology under contemporary and future-predicted conditions with accelerated sea-level rise....
Search relevance: 54.17 | Views last month: 0 -
The “Employment and Training Opportunities in SNAP" final rule allowed SNAP E&T to fund subsidized wages for E&T participants in work-based learning or other work experience activities. This study...
Search relevance: 52.63 | Views last month: 1 -
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany...
Search relevance: 52.04 | Views last month: 0 -
We developed a suite of models using deep learning to make hindcast predictions of the 7-day average backward-looking nitrate concentration at 46 predominantly agricultural sites across the...
Search relevance: 51.34 | Views last month: 1 -
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. state of Minnesota. Uncalibrated models used default...
Search relevance: 51.05 | Views last month: 0
