Search Results for "histogram"
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Showing 7 open source projects for "histogram"
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ClickVisual
Log analytic and data visualize platform built on clickhouse
ClickVisual is a lightweight browser-based logs analytics and logs search platform for ClickHouse. -
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EvoTrees.jl
Boosted trees in Julia
A Julia implementation of boosted trees with CPU and GPU support. Efficient histogram-based algorithms with support for multiple loss functions, including various regressions, multi-classification and Gaussian max likelihood. -
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TensorBoardX
tensorboard for pytorch (and chainer, mxnet, numpy, etc.)
The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a... -
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3D Plot PovRay templates
3D Charts - Templates for PovRay(TM)
Here are PovRay(TM) templates for creating amazing 3D plots (histogram, surface, box&whisker). These are macros in PovRay Scene Description Language (SDL), you have to #include into Your scene, manually or by PovEdit Menu System. Nice renderings! -
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Krisk
Statistical Interactive Visualization with pandas+Jupyter integration
Krisk brings Echarts to the Python Data Science Ecosystem, and helpful tools for high-level statistical interactive visualization. -
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cimgexplorer
Exploration and analysis program for (scientific) images
CImgExplorer is an exploration and analysis program for (scientific) intensity images. It shows floating-point and integer intensity images in a false-colour display and allows range adjustment, zooming, histogram optimisation, and simple evaluation. Reads most formats using GDAL. -
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WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
WaveSorter emphasizes dynamic visualization and versatility. Slider controls let the user select any coefficient or sample from any of several transforms, which can then be plotted to either axis of a 2D histogram (scatterplot). Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform properties (width, etc.) can be saved to disk in simple text files. ...
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