Search Results for "regression" - Page 10
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Showing 358 open source projects for "regression"
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Time Travel Project
A project for open source time travel with computers.
For more information please see my web-sight: http://timetravelinstitute.biz/ http://time-travel.institute http://timetravelcomputers.blogspot.com YouTube Channel: https://www.youtube.com/user/Reactor1967 Cryptography - The art of writing or solving codes. The study of techniques for secure communication. Cipher - Code to secure communication. The cipher is used for encryption or decryption Temporal Cryptography - The study of techniques to recover information lost or hidden... -
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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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Armageddon AI
To create a mathematical equation to run a super military grade A.I.
The author here seeks to take information that he has learned from other programming projects to create a mathematical equation that can be used to run a super artificial intelligent A.I. capable of multitasking and performing task as well as a human or even better than a human. This project will use trained regression lines to predict the weights of the A.I.'s neurons. Then using the equation's of the regression lines to make an equation for a A.I. that can self train and update its own A.I. equation to out perform humans at completing task. The purpose of this A.I. is to be able to put it into any environment and have it perform better than a human can. -
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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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Hawaii
Wayland/QtQuick based OS with incremental updates and bundles
Hawaii is a desktop operating system built on the GNU/Linux stack with a new lightweight and fast Wayland desktop environment written with QtQuick and deeply integrated with systemd. Hawaii delivers incremental and atomic updates which gives users to ability to rollback the whole system to a known good state if a regression happens. -
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Thesis Data
Data for our regression
This data contains the data that was used to run our SVAR. -
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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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Data Science Specialization
Course materials for the Data Science Specialization on Coursera
...The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential topics such as R programming, data cleaning, exploratory data analysis, statistical inference, regression models, machine learning, and practical data science projects. By providing centralized resources, the repo makes it easier for students to practice concepts and replicate examples from the curriculum. It also offers a structured view of how multiple disciplines—programming, statistics, and applied data analysis—come together in a professional workflow. -
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EAR4 is a lazy learner that can be used for regression tasks. Fore more information refer to: Extending case adaptation with automatically-generated ensembles of adaptation rules V Jalali, D Leake Case-Based Reasoning Research and Development, 188-202
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caar
Context-aware Adaptation Retrieval
CAAR is a case-based regression learner that utilizes context in retrieving the adaptations used for adjusting the source case values. For more information refer to: A Context-Aware Approach to Selecting Adaptations for Case-Based Reasoning V Jalali, D Leake Modeling and Using Context, 101-114 (2013) -
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riboshape
Predicting ribosome footprint profile shapes from transcript sequences
Riboshape is a suite of algorithms to predict ribosome footprint profile shapes from transcript sequences. It applies kernel smoothing to codon sequences to build predictive features, and uses these features to builds a sparse regression model to predict the ribosome footprint profile shapes. Reference: Liu, T.-Y. and Song, Y.S. Prediction of ribosome footprint profile shapes from transcript sequences. Proceedings of ISMB 2016, Bioinformatics, Vol. 32 No. 12 (2016) i183-i191. -
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2. Tune kernel Ridge MM (HPC parallel)
Shell/R program which tunes kernel Ridge by parallel computing
A shell/R program for HPC Linux clusters which allows users to estimate the optimal rate of decay parameter for kernel Ridge regression, within the mixed model framework, for prediction. The optimal rate of decay is estimated using K-folds cross validation parallelized using cluster nodes. -
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classify-20-NG-with-4-ML-Algo
Problem involves classifying 20000 messages into different 20 classes
This classification problem involves classifying 20000 messages into 20 different classes. The dataset can be found here: https://archive.ics.uci.edu/ml/datasets/Twenty+Newsgroups. Four Machine Learning algorithms; Naïve Bayes, Logistic Regression, Regularized Logistic Regression Support Vector Machine (SVM) were implemented and there training and test dataset accuracy were compared. Arguably, one of the most important aspect to solving this problem is having the appropriate data set format. Each of these algorithms has its peculiar data format; the specific format and how to reconstruct the entire dataset are illustrated in other sections below. ... -
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KMBOX - Kernel Methods Toolbox
A collection of kernel-based algorithms for Matlab.
KMBOX is a collection of MATLAB programs that implement kernel-based algorithms, with a focus on regression algorithms and online algorithms. It can be used for nonlinear signal processing and machine learning. -
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SEPTA Next Bus
Prediction API for Septa buses
Use SEPTA bus gps data to ultimately determine when a bus will reach a certain stop. -
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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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BEAR
CBR Meets Big Data
Case-based regression learner for big data. The package contains source and binary files for running BEAR's method. BEAR utilizes EAR4 and locality sensitive hashing in its implementation. -
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Fingrams Generator
Stand-alone software tool able to generate and visualize fingrams.
...It handles fuzzy systems designed by whatever fuzzy modeling tool. This tool takes as input a standard configuration file easy to be generated from a fuzzy system. Currently, Fingrams can be generated for classification, regression fuzzy rule based systems and fuzzy association rules. GUAJE [http://www.softcomputing.es/guaje], and KEEL [http://www.keel.es] are able to automatically produce the required input file. -
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Data visualization tool
scientific data visualization, time history, scatter plots, spectral
View/plot/graph scientific data such as time history, scatter plots, PSD, Bode, Flight track, tephigram, linear regression (single and multi variate). Playback was developed for aerospace and atmospheric research environment and as such support plotting specifically for these disciplines but it is by no means limited to these and contains many generalized plotting and data visualization capabilities. Playback uses GTK2 and compiles under Linux. -
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Adaptive Gaussian Filtering
Machine learning with Gaussian kernels.
Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation routines. It is written in C++. -
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qtFit is a program used to fit ASCII data. The graphical user interface (GUI) of qtFit is designed using QT software. The regression is done using CERN’s MINUIT routine and plotting is perfomed with the QCustomPlot library. This document is a manual of the qtFit program, and includes instructions about installation, features description, and how-to-use examples.
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bnmroffice
Beta version of bnmroffice v2
The program is used for bNMR data analysis. To download the latest version, please follow the link https://github.com/hsaadaoui -
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SCaVis
Scientific Computation and Visualization Environment
...SCaVis can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Elements of symbolic computations using Octave/Matlab scripting are supported. The project was migrated to DataMelt. -
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Darcy
Software for distance cartogram creation
Darcy is a software for distance cartogram creation based on Waldo Tobler bidimensional regression.
