Results 41 to 50 of about 914,980 (369)
MARIO: A Versatile and User-Friendly Software for Building Input-Output Models
Journal of Open Research Software, 2023 MARIO (Multi-Regional Analysis of Regions through Input-Output) is a Python-based framework for building input-output models. It automates the parsing of well-known databases (e.g. EXIOBASE, EORA, Eurostat) and of customized tables.
Mohammad Amin Tahavori +4 more
doaj +1 more source
Data Structures for Statistical Computing in Python
SciPy, 2010 In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental ...
Wes McKinney
semanticscholar +1 more source
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations. It aims to provide effective, reproducible, and easy-to-use first-stage retrieval in a multi-stage ranking architecture.
Jimmy J. Lin +6 more
semanticscholar +1 more source
Frontiers in Neuroscience, 2009 Researchers changing scientific fields are often surprised to discover how different the cultures in their new and old fields are. While the neuroscience culture is vibrant and stimulating in many ways, neuroscience is not a field with the strongest tradition for sharing or division of labor.
openaire +3 more sources
Quality control and filling of daily temperature and precipitation time series in Colombia
Meteorologische Zeitschrift, 2021 During the last several years, there has been an increase in the monitoring of meteorological phenomena. For accurate analysis of the spatial and temporal variability of precipitation as well as air temperature, recorded observations must be trustworthy.
César Augusto Terán-Chaves +2 more
doaj +1 more source
Statsmodels: Econometric and Statistical Modeling with Python
SciPy, 2010 Statsmodels is a library for statistical and econometric analysis in Python. This paper discusses the current relationship between statistics and Python and open source more generally, outlining how the statsmodels package fills a gap in this ...
Skipper Seabold, Josef Perktold
semanticscholar +1 more source
Frontiers in Neuroinformatics, 2009 Neuroscience modeling experiments often involve multiple complex neural network and cell model variants, complex input stimuli and input protocols, followed by complex data analysis.
Richard P Drewes +4 more
doaj +1 more source
Frontal and non-frontal face detection using deep neural networks (DNN) [PDF]
International Journal of Research in Industrial Engineering, 2021 Face recognition has always been one of the most searched and popular applications of object detection, starting from the early seventies. Facial recognition is used for access control, authentication, fraud detection, surveillance, and by individuals to
N. Prasad +4 more
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Bridging open source tools and Geoportals for interactive spatial data analytics
Geo-spatial Information Science, 2019 Geoportals have been the primary source of spatial information to researchers in diverse fields. Recent years have seen a growing trend to integrate spatial analysis and geovisual analytics inside Geoportals.
Bing She +3 more
doaj +1 more source
zfit: scalable pythonic fitting
, 2020 Statistical modeling is a key element in many scientific fields and especially in High-Energy Physics (HEP) analysis. The standard framework to perform this task in HEP is the C++ ROOT/RooFit toolkit; with Python bindings that are only loosely integrated
Coutinho, Rafael Silva +3 more
core +1 more source