Displaying 1 to 20 from 51 results

bild - A collection of parallel image processing algorithms in pure Go

  •    Go

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.

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more

  •    C++

XGBoost 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.

HdrHistogram - A High Dynamic Range (HDR) Histogram

  •    Java

HdrHistogram 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.

Matplotlib - Python 2D plotting library

  •    Python

Matplotlib 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.

histo - beautiful charts in the terminal for static or streaming data

  •    C

Plot 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.

flexy-pool - FlexyPool adds metrics and failover strategies to a given Connection Pool, allowing it to resize on demand

  •    Java

FlexyPool 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.



ROOT 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 ...

Digital Media Processing Project 1: Image Processor


Homework 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

histogram - Fast multi-dimensional generalized histogram with convenient interface for C++14

  •    C++

Coded 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.

node-redis-histogram - Redis histograms for nodejs

  •    Javascript

Bin value with optional callback.Load histogram bins.

histogram - Streaming Histograms for Clojure/Java

  •    Java

This 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.

ticks - A utility for choosing nice tick marks or histogram intervals.

  •    Javascript

A utility for choosing nice tick marks or histogram intervals. In the above code, count is the approximate number of desired ticks.

RGBAnalyse - An RGB-HC histogram library for same-origin images

  •    Javascript

Client-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.

chaperon - HTTP Service Performance & Load Testing Framework

  •    Elixir

This 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.

bhdr - benchmark utility powered by hdr histograms, for node

  •    Javascript

Benchmark utility powered by hdr histograms, for node. It is API-compatible with fastbench.

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