Search Results for "regression" - Page 4
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Showing 124 open source projects for "regression"
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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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HHVM
A virtual machine for executing programs written in Hack
...HHVM uses a just-in-time (JIT) compilation approach to achieve great runtime performance while maintaining amazing development flexibility. HHVM supports the Hack programming language. We are moving fast, making changes daily and releasing often. If you notice a regression in the typechecker or the runtime, please open issues when you find them. Rather than directly interpret or compile source code directly to C++, HHVM compiles Hack into an intermediate bytecode. This bytecode is then translated into x64 machine code dynamically at runtime by a just-in-time (JIT) compiler. This compilation process allows for all sorts of optimizations that cannot be made in a statically compiled binary, thus enabling higher performance of your Hack programs. -
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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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Firefly's Beetroot
Regression testing simplified.
Firefly's Beetroot is a regression tester designed with ease of use in mind. The only requirement to operate it is some basic knowledge of the UNIX shell. Note that this is not a unit test framework. Testing occurs at program granularity, not at a level of a function. This is meant to be used only with software with a stable user interface. Changes in the interface could break your tests. -
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r4st
A database rapid application development tool
...It uses shell scripts to drop/add Postgresql database tables/views with data loaded from sql and csv files. This process allows users to apply changes then re-build the system. It is essentially a customizable database regression system. The base schema and data module represent a plant database intended for educational and scientific usage. -
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This project aims to provide a linux kernel regression test framework which will provide a systematic way to find a regression of the Linux Kernel.
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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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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 for managing Perforce codelines, based on a library of reusable Perl modules. Each codeline (branch) can have its own automated submit regression and shared default view.
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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 Regression Result Tool (RRT) is a Perl based tool that displays regression results via a web page. It takes as input a directory/list of test log files. It parses each for pass/fail information and any other info one would like to have reported.
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ARTE, the Automatic Regression Test Environment ARTE is a black-box system testing framework, extensible with easy-deployable plugins, and perfectly suited to test inter-module communications in any kind of software project.
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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.
