Search Results for "multiple regression" - Page 2
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Showing 39 open source projects for "multiple regression"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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FluentLenium
FluentLenium is a web & mobile automation framework
...FluentLenium is shipped with adapters for JUnit4, JUnit5, TestNG, Spock, Spring TestNG, Cucumber and Kotest, but it can also be used standalone. FluentLenium best integrates with AssertJ, but you can also choose to use the assertion framework you want. FluentLenium gives you multiple methods which help you write tests quicker. All those methods are tested daily by commercial regression test suites maintained by project developers. -
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SGP AutoFocus LogViewer
Autofocus log viewer for Sequence Generator Pro.
This software extracts relevant autofocus data from the log files generated by the Sequence Generator Pro astrophoto capture software. It further allows to graph all the autofocus runs stored in the logfile and to calculate temperature coefficients and filter offsets. -
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Active Learning
Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. The main... -
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rene file renamer
Windows/Linux lexical/semantic multiple file renamer
Rene is an extended file renamer command line program written in Python for Windows and Linux. Its goal is to be easy to use but powerful. For basic use, the command syntax is as simple as Windows ren and Linux mv yet affords greater flexibility in reusing parts of the original name and formulating its replacement. Features include: -- Automatic name adjustment to avoid existing file names with a choice of parameterized collision avoidance schemas. -- Semantic name selection, for example,... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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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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miRNA Temporal Analyzer (mirnaTA)
Differential expression analysis tool for miRNAs in temporal studies
The microRNA Temporal Analyzer (mirnaTA) is a bioinformatics tool which can be used to identify differentially expressed miRNAs in temporal studies. It is implemented in Perl and R package (>= 2.13.0) and can be run across multiple platforms such as Linux, Mac and Windows. The mirnaTA requires that users provide data from a minimum of two time points and analyze up to 20 time points. To normalize data and remove technical variability, Normal Quantile Transformation (NQT) was used, and the normalized data is analyzed using linear regression model to locate any miRNAs which are differentially expressed in a linear manner. ... -
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Parallel GENSENG is a parallel implementation of the GENSENG software for detecting copy number variations from high-throughput sequencing data. This software runs exactly as the original code does, except that it utilizes multiple threads where possible. OpenMP was used for multi-threading so changes to the original code were minimal. For a demo, please download the sample data linked to below and follow the README from the tarball. Example read count...
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FineSplice
Enhanced splice junction detection and estimation from RNA-Seq data
...Following alignment with TopHat2 using known transcript annotations, FineSplice takes as input the resulting BAM file and outputs a confident set of expressed splice junctions with the corresponding read counts. Potential false positives arising from spurious alignments are filtered out via a semi-supervised anomaly detection strategy based on logistic regression. Multiple mapping reads with a unique location after filtering are rescued and reallocated to the most reliable candidate location. FineSplice requires Python 2.x (>= 2.6) with the following modules installed: pysam (http://code.google.com/p/pysam/) and scikit-learn (http://scikit-learn.org/). For further details check out our publication: Nucl. ... -
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Probe Deeper PHP will provide class libraries for simple and advanced statistical analyses, including multiple regression, forecasting, hypotheses testing, etc.
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A task for the Apache "Ant" build system. The "mtxslt" (multi-XSLT) task extends the standard Ant "xslt/style" task to make it easy to use multiple XSLT engines during the same build. This is useful for regression testing of XSLT scripts against
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This is a SAS(r) Software macro package for performing multipoint QTL mapping using the DeFries-Fulker multiple regression approach to unselected and selected samples.
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Multi Expression Programming is a genetic programming method that encodes multiple solutions. It aims to solve difficult problems like classification or symbolic regression.
