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gz-common6
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public |
An audio-visual library supports processing audio and video files, a graphics library can load a variety 3D mesh file formats into a generic in-memory representation, and the core library of Gazebo Common contains functionality that spans Base64 encoding/decoding to thread pools.
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2025-09-30 |
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r-datavisualizations
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public |
Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.
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2025-09-30 |
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cspice
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public |
NASA ancillary information system
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2025-09-30 |
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gufe
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public |
gufe
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2025-09-30 |
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gz-fuel-tools
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public |
A client library and command line tools for interacting with Gazebo Fuel servers.
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2025-09-30 |
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gz-fuel-tools10
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public |
A client library and command line tools for interacting with Gazebo Fuel servers.
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2025-09-30 |
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libgz-fuel-tools
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public |
A client library and command line tools for interacting with Gazebo Fuel servers.
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2025-09-30 |
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libgz-fuel-tools10
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public |
A client library and command line tools for interacting with Gazebo Fuel servers.
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2025-09-30 |
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gz-fuel-tools9
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public |
A client library and command line tools for interacting with Gazebo Fuel servers.
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2025-09-30 |
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libgz-fuel-tools9
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public |
A client library and command line tools for interacting with Gazebo Fuel servers.
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2025-09-30 |
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interactivefitting
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public |
Graphical user interface to fit transfer functions with VectFit3.
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2025-09-30 |
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loopdesigner
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public |
Graphical user interface to design and tune single-input single-output feedback control loops
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2025-09-30 |
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pillow-heif
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public |
Python interface for libheif library
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2025-09-30 |
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pandas
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public |
Powerful data structures for data analysis, time series, and statistics
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2025-09-30 |
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schema-engine-cli
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public |
Engine components of Prisma ORM
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2025-09-30 |
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astartes
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public |
Train:Test Algorithmic Sampling for Molecules and Arbitrary Arrays
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2025-09-30 |
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plant
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public |
PLANT is a collection of software tools developed at the Jet Propulsion Laboratory to support processing and analysis of Synthetic Aperture Radar (SAR) data for ecosystem and land-cover/land-use change science and applications.
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2025-09-30 |
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qt6-main
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public |
Qt is a cross-platform application and UI framework.
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2025-09-30 |
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ptyrad
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public |
PtyRAD: Ptychographic Reconstruction with Automatic Differentiation
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2025-09-30 |
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r-spatialsample
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public |
Functions and classes for spatial resampling to use with the 'rsample' package, such as spatial cross-validation (Brenning, 2012) <doi:10.1109/IGARSS.2012.6352393>. The scope of 'rsample' and 'spatialsample' is to provide the basic building blocks for creating and analyzing resamples of a spatial data set, but neither package includes functions for modeling or computing statistics. The resampled spatial data sets created by 'spatialsample' do not contain much overhead in memory.
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2025-09-30 |
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dascore
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public |
A python library distributed fiber optic sensing
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2025-09-30 |
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torchmanager
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public |
PyTorch Training Manager v1.4.2
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2025-09-30 |
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r-rcarbon
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public |
Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).
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2025-09-30 |
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servicex-analysis-utils
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public |
servicex-analysis-utils
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2025-09-30 |
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cmake-no-system
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public |
CMake built without system libraries for use when building CMake dependencies.
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2025-09-30 |
