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DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines. [3] [4] [5] DVC works on top of Git repositories [6] and cloud storage. [7]
NCEP codes free software (C and FORTRAN library) for decoding and encoding data in GRIB 2 format (some template only) JGrib - Jgrib is a free library for reading GRIB files in Java. Meteosatlib - Meteosatlib is a free software C++ library and set of tools to convert satellite images between various formats; it can read and write GRIB data, and ...
Open energy-system models are energy-system models that are open source. [a] However, some of them may use third-party proprietary software as part of their workflows to input, process, or output data. Preferably, these models use open data, which facilitates open science.
The data modeling language can be used to model both configuration data as well as state data of network elements. Furthermore, YANG can be used to define the format of event notifications emitted by network elements and it allows data modelers to define the signature of remote procedure calls that can be invoked on network elements via the ...
Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) Perl Data Language – Scientific computing with Perl; Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics
Development of the model continued in a Joint context and in November 2003 the C2 Information Exchange Data Model (C2IEDM) Edition 6.1 was released. Additional development to this model, incorporating the NATO Corporate Reference model, resulted in the model changing its name again to JC3IEDM with JC3IEDM Ed 0.5 being issued in December 2004.
The command ls -l is executed as a process, the output (stdout) of which is piped to the input (stdin) of the process for grep key; and likewise for the process for less. Each process takes input from the previous process and produces output for the next process via standard streams .
Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. [1] DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications [2] [3] [4] Additionally, DEA has been used to assess the performance of natural language ...