A collection of parallel image processing algorithms in pure Go.The aim of this project is simplicity in use and development over high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It is based on standard Go packages to reduce dependency use and development abstractions.
algorithm parallelism histogram image-processing signal-processing effects image-editing concurrency resize go-libraryXGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.XGBoost has been developed and used by a group of active community members. Your help is very valuable to make the package better for everyone.
gbdt gbrt gbm distributed-systems xgboost gradient-boosting histogramHdrHistogram supports the recording and analyzing sampled data value counts across a configurable integer value range with configurable value precision within the range. Value precision is expressed as the number of significant digits in the value recording, and provides control over value quantization behavior across the value range and the subsequent value resolution at any given level.
histogram metrics countersMatplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell (à la MATLAB or Mathematica), web application servers, and various graphical user interface toolkits.
plotting-library charting-library charts bar-charts histogram graphsPlot charts in the terminal with arbitrary streaming or non-streaming data.histo(1) simply reads from stdin, so it works well with streaming or non-streaming data, from any data source. This repo includes some example files in ./examples, as well as some example shell scripts for streaming input.
histogram chart graph plot stats statisticsFlexyPool bring flexibility to external Connection pooling libraries. It's meant to assist developers finding the right pool size while allowing you to adapt the size automatically.
connection-pool histogram dbcp hikaricp monitoring database flexy-poolA thin, typed, React wrapper for Google Charts. Set the chart-specific events you want to listen to and the corresponding callback. The callback has the component as an argument.
react google-charts charts react-google-charts area-chart bar-chart bubble-chart calendar-chart candlestick-chart column-chart donut-chart gantt gantt-chart gauge-chart geochart histogram line-chart org-chart typescript googleROOT Surface. An attempt to make the final step in a histogram based analysis visual and easy. This has been attempted in the field before but has always failed - scripts and text seem to be a more natural way to do this. This project is an experiment to see if it is possible ...
analysis histogram scientificHomework for "Digital Media Processing". Features Include: Curve Adjustment Tool Region Growing Segmetation Threshold Segmentation Guassian/Butterworth High/Low pass filters Laplacian Sharpen Sobel Filter Guassian Noise FFT spectrum chart Histogram and histogram equalization Clip
clip curve fft filter histogram image processCoded with ❤. Powered by the Boost community and the Scikit-HEP Project. Licensed under the Boost Software License. Boost.Histogram is a very fast state-of-the-art multi-dimensional generalised histogram class for the beginner and expert alike.
c-plus-plus statistics boost histogram boost-libraries c-plus-plus-14 header-only data-analysis convenient convenient-interfaceTools to process Go trace logs into various profiles. Complement for "go tool trace".
tracing profiling performance histogramArray manipulation, ordering, searching, summarizing, etc.
d3 d3-module histogram bisect shuffle statistics search sort arrayBin value with optional callback.Load histogram bins.
histo histogram redis statsThis project is an implementation of the streaming, one-pass histograms described in Ben-Haim's Streaming Parallel Decision Trees. Inspired by Tyree's Parallel Boosted Regression Trees, the histograms are extended so that they may track multiple values.The histograms act as an approximation of the underlying dataset. They can be used for learning, visualization, discretization, or analysis. The histograms may be built independently and merged, making them convenient for parallel and distributed algorithms.
streaming histogram data-summaryA utility for choosing nice tick marks or histogram intervals. In the above code, count is the approximate number of desired ticks.
visualization histogramClient-side installation: simply grab the library from the release directory on github, or use bower to install: bower install rgbanalyse. Node package installation: npm install rgbanalyse.
image processing analysis histogram rgb hsl labThis is a framework / library & tool for doing load and performance tests on web services. It tracks many kinds of metrics automatically and allows tracking custom ones, if needed. A load test is a combination of target web services & scenarios to run against them. It also defines session & HTTP / WebSocket connection settings (like authentication credentials, custom headers, etc.) for each of the services.
load-testing http websocket performance analysis metrics histogramBenchmark utility powered by hdr histograms, for node. It is API-compatible with fastbench.
hdr histogram benchmark runner
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