Found 72 datasets matching "python package".
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"module-utilities" is a python package of utilities to simplify working with python packages.The main features of `module-utilities` are as follows: "cached" module: A module to cache class...
Search relevance: 165.63 | Views last month: 0 -
The Environmental Source Apportionment Toolkit (ESAT) is an open-source software package that provides API and CLI functionality to create source apportionment workflows specifically targeting...
Search relevance: 152.31 | Views last month: 24 -
`analphipy` is a python package to calculate metrics for classical models for pair potentials. It provides a simple and extendable api for pair potentials creation. Several routines to calculate...
Search relevance: 150.78 | Views last month: 0 -
cmomy is a python package to calculate central moments and co-moments in a numerical stable and direct way. Behind the scenes, cmomy makes use of Numba to rapidly calculate moments. cmomy provides...
Search relevance: 143.19 | Views last month: 0 -
A python package to analyze ``lnPi`` data from Transition Matrix Monte Carlo(TMMC) simulation. The main output from TMMC simulations, ``lnPi``, provides a means to calculate a host of...
Search relevance: 143.05 | Views last month: 1 -
The parsers featured in this module are constructed to parse LAMMPS output files, (i.e., dump files), containing data for given potential energy values (an approximation of the Hamiltonian),...
Search relevance: 129.03 | Views last month: 0 -
This is a python package to perform thermodynamic extrapolation andinterpolation of observables calculated from molecular simulations. This allowsfor more efficient use of simulation data for...
Search relevance: 105.19 | Views last month: 0 -
This code repository contains the "back-end" of the Nexus Microscopy Facility Laboratory Information Management System (NexusLIMS), developed by the NIST Office of Data and Informatics. Its...
Search relevance: 95.88 | 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: 68.92 | Views last month: 0 -
This data was compiled for the 'Early Market Opportunity Hot Spot Identification' project. The data and scripts included were used in the 'MHK Energy Site Identification and Ranking Methodology'...
Search relevance: 62.22 | Views last month: 0 -
Data from a Nortek Signature1000 deployed on a lander for 14 days in Aug 2020 in the entrance to Sequim Bay, WA. Raw data were processed using the DOLfYN python package and standardized using the...
Search relevance: 61.83 | Views last month: 1 -
This is the source code package for the labbench python module, version 0.20, which is its first public release. The purpose of labbench is to streamline and organize complicated laboratory...
Search relevance: 57.67 | Views last month: 0 -
This data release contains the MODFLOW 6 models described in the related Groundwater journal article (https://doi.org/10.1111/gwat.13459). The models are generalized cross-section models of a...
Search relevance: 55.61 | Views last month: 0 -
These datasets are from tidal resource characterization measurements collected on the Terrasond High Energy Oceanographic Mooring (THEOM) from 1 July 2021 to 30 August 2021 (60 days) in Cook...
Search relevance: 54.78 | Views last month: 0 -
This software repository contains a python package Aegis (Active Evaluator Germane Interactive Selector) package that allows us to evaluate machine learning systems's performance (according to a...
Search relevance: 54.57 | Views last month: 0 -
This Python software package provides functionality for inference of the initial state of a Hidden Markov Model (HMM), when we have access to permutations of the underlying states. We provide both...
Search relevance: 53.64 | Views last month: 1 -
This dataset includes the code needed to reproduce all the results from "Superancillary equations for PC-SAFT" by Ian Bell (NIST) and Ulrich Deiters (Cologne).It includes C++ code for the...
Search relevance: 53.19 | Views last month: 2 -
SDNist (v1.3) is a set of benchmark data and metrics for the evaluation of synthetic data generators on structured tabular data. This version (1.3) reproduces the challenge environment from...
Search relevance: 52.62 | Views last month: 1 -
SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts,...
Search relevance: 51.33 | Views last month: 1 -
SolDet is an object-oriented package for solitonic feature detection in absorption images of Bose-Einstein condensate. with wider use for cold atom image analysis. Featured with classifier, object...
Search relevance: 51.31 | Views last month: 0
