Results 31 to 40 of about 952,076 (327)
SIMA: Python software for analysis of dynamic fluorescence imaging data
Fluorescence imaging is a powerful method for monitoring dynamic signals in the nervous system. However, analysis of dynamic fluorescence imaging data remains burdensome, in part due to the shortage of available software tools.
Patrick eKaifosh +3 more
doaj +1 more source
PowNet is a free modelling tool for simulating the Unit Commitment/Economic Dispatch of large-scale power systems. PowNet is specifically conceived for systems characterized by the presence of variable renewable resources (e.g., hydropower, solar, and ...
A. F. M. Kamal Chowdhury +3 more
doaj +1 more source
Statsmodels: Econometric and Statistical Modeling with Python
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
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
As neuroimaging databases grow in size and complexity, the time researchers spend investigating and managing the data increases to the expense of data analysis. As a result, investigators rely more and more heavily on scripting using high-level languages
Yannick eSchwartz +8 more
doaj +1 more source
Biopython: freely available Python tools for computational molecular biology and bioinformatics
Summary: The Biopython project is a mature open source international collaboration of volunteer developers, providing Python libraries for a wide range of bioinformatics problems. Biopython includes modules for reading and writing different sequence file
P. Cock +10 more
semanticscholar +1 more source
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
Detection of pedestrian and different types of vehicles using image processing [PDF]
Nowadays, the control of the traffic in the urban roads and in the highway has been a big challenge as the number of increase in the auto mobiles. So to overcome this problem we use the detection and tracking the vehicles using the traffic surveillance ...
H. Herunde +3 more
doaj +1 more source
The Semi-Automatic Classification Plugin is a Python plugin for the software QGIS (QGIS Development Team, 2021) developed with the overall objective to facilitate land cover monitoring by people whose main field is not strictly remote sensing, but that ...
Luca Congedo
semanticscholar +1 more source
The Use of Large Language Models for Marking Datasets in Natural Language Processing
The article offers a method of using large language models of OpenAI company for marking text data through an accessible software interface. The developed method is the first step of solving the problem from the category of processing natural language ...
Krystina Makoveichuk +3 more
doaj +1 more source

