Search Results for "regression" - Page 4
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Showing 119 open source projects for "regression"
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Accord.NET Framework
Machine learning, computer vision, statistics and computing for .NET
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. The Accord.NET project provides... -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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Swift
Selenium Hybrid Automation Framework with BDD tool Cucumber
Mastek has successfully developed a highly configurable Hybrid Automation framework: “Swift” using Selenium tool that offers quick turnaround for Automation Suite Implementation with support of Keyword & Data Driven framework approach. The Automation regression suite can be created or modified using tester friendly keywords for modules, screens, and verifications, thereby ensuring a more effective and efficient Test automation process and better ROI through the complete application life cycle. Swift is also integrated with Behaviour driven developement ( BDD ) tool Cucumber. -
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sentinela
Visual regression test with Sentinela and webdriver
What is sentinela? With the sentinela it´s possible can perform visual regression test quickly and efficiently. Sentinela make prints from window browser, manager baseline a makes comparisons of test results. -
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. -
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sentinelaAPI
Visual regression test with Sentinela API + WebDriver
Visual regression test with Sentinela API + WebDriver A simple API that combined with WebDriver can perform visual regression test quickly and efficiently. Sentinela API - Gen prints from window browser, manager baseline and makes a comparison of results Sentinela API it is written in Java. How API work? 1 - Import Sentinela API in your project. 2 - Mark some points where Sentinela API will perform the tests. 3 - Run your project as usual. 4 - Every time point is reached Sentinela API comes in. 5 - Take a print and save in your baseline. 6 - Compares the result with another baseline. ... -
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Argus Eyes
A lightweight commandline tool for visual regression testing of UI
A lightweight command line tool for visual regression testing of UI components. After installing, you want to tell argus eyes which pages and which components to check for visual regression. Argus eyes work by going over a straightforward JSON file containing the resolutions you want to capture, as well as the pages with theirs url's, and the components with their CSS-selectors. Once argus eyes know where to find the components, it's time for some command line action. ... -
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Diffy
Find potential bugs in your services with Diffy
Diffy is a traffic-shadowing and response-diffing tool that helps you validate a new version of a service against a trusted baseline before a full cutover. It acts as a proxy that fans out real production requests to three backends: the current “primary,” a “candidate” (new build), and a “shadow” baseline, then compares responses to detect behavioral differences. By using live traffic rather than synthetic tests, Diffy surfaces edge cases and data-dependent discrepancies that unit tests... -
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torcher
Torcher is a Tcl/Tk test generation UI
Torcher is a Tcl/Tk test generation user interface (written in Tcl/Tk) that helps organize, create and maintain test cases in a regression suite. Regression runs can be run within torcher. -
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ConvNetJS
Deep learning in Javascript to train convolutional neural networks
...ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and train Convolutional Networks that process images, and experimental Reinforcement Learning modules, based on Deep Q Learning. The library allows you to formulate and solve Neural Networks in Javascript. If you would like to add features to the library, you will have to change the code in src/ and then compile the library into the build/ directory. ... -
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CURRENNT
CUDA-enabled machine learning library for recurrent neural networks
CURRENNT is a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations. The library implements uni- and bidirectional Long Short-Term Memory (LSTM) architectures and supports deep networks as well as very large data sets that do not fit into main memory. -
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
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Regression Suite
Test suite with unit regrssion and execution statistics
RegressionSuite is a software test suite that incorporates measurement of the startup lag, measurement of accurate execution times, generating execution statistics, customized input distributions, and processable regression specific details as part of the regular unit tests. Essentially, RegressionSuite provides the frame-work around which the individual unit regressors are invoked (and details and statistics collected). Unit regressors are grouped into named regressor sets (or modules), and regressors are created by implementing specific regressor interfaces. ... -
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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Statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. They make the PDL shell work like R, but with PDL threading (fast automatic iteration) of procedures including t-test, linear regression, and k-means clustering.
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
...Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... And some auxiliary features like random number generators, equation solution, numerical integration, permutation/combination and gcd/lcm etc. ... -
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AIS is an Development Platform providing a high-speed JIT compiler for LISP and JavaScript, web server, object repositories, MySQL integration and libraries supporting a wide variety of advanced genetic programming and symbolic regression techniques.
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Nen
neural network implementation in java
3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar" -
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XPect allows test developers to describe regression tests for message oriented systems in XML. XPect leans on JUnit and XPect test should be kicked off as JUnit TestSuites.
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UltiFit provides "push button regression" of your Fitnesse-based tests, offering powerful grid-based execution, driven by a user friendly GUI that automates regression tasks, including timing, reruns, closing lingering processes and reporting.
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This tool compares Value Change Dump files, which is useful for regression testing of Verilog models. VCD files are dumpfiles generated by EDA logic simulation tools.
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Automation tool to test task programs (Jobs). RoboTT reuse scenarios, makes regression tests easy, reduce test maintenance cost thru test derivation, and allow short test cycles, low maintenance costs and work deep changes in the program safely.
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Rapidlogix is an open source application performance management tool optimized for distributed production environments. It allows to increase time-to-market of performance improvements and prevent performance regression
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The aim of the project is to provide a testing tool that would reduce the cost associated with the regression testing process. The tool provides test case subset selection so that the user need not run the redundant test cases.
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Sake is a PHP implementation of Polynomial Least Squares Regression. The algorithm takes data points as input and returns the resulting polynomial. Graphs can be made using any plotting package. Sake provides the polynomial and will compute as many point
