Search Results for "correlation"
Sort By:
Showing 32 open source projects for "correlation"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
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.
-
1
Brave
Java distributed tracing implementation compatible with Zipkin backend
...This repository includes dependency-free Java libraries and instrumentation for common components used in production services. For example, this includes trace filters for Servlet and log correlation for Apache Log4J. Brave's dependency-free tracer library works against JRE6+. This is the underlying api that instrumentation use to time operations and add tags that describe them. This library also includes code that parses X-B3-TraceId headers. -
2
HugeGraph
A graph database that supports more than 100+ billion data
...HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports Gremlin graph query language and RESTful API but also provides commonly used graph algorithm APIs. To help users easily implement various queries and analyses, HugeGraph has a full range of accessory tools, such as supporting distributed storage, data replication, scaling horizontally, and supports many built-in backends of storage engines. -
3
Statistics101 - Resampling Statistics
Use simulation to perform statistical analyses.
Statistics101 is an Integrated Development Environment (IDE) that uses a simple, powerful language called “Resampling Stats” to develop Monte Carlo programs to analyze and solve statistical problems. The original Resampling Stats language and computer program were developed by Dr. Julian Simon (https://www.juliansimon.com/) and Peter Bruce (https://www.scientificamerican.com/author/peter-bruce/) as a new way to teach Statistics to social science students. Of course, social science students... -
4
GenoCline
GenoCline is a free Java software for genetic cline analysis
Identification of clines from allele frequency or genome-wide databases. Angular transformation. Sigmoid function. Parameterization of a cline: orientation, Pearson’s product-moment correlation coefficient, linear and sigmoid regression and coefficient of determination. Graphical representation of the cline. Confidence limits. Spatial autocorrelation. Moran's index. Isolation by distance. Exponential regression. Correlation Fst/Distance. Centroid method. Cline's expected vs. predicted heterozygosity. MDS. Sammon projection. ... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
inspectIT
inspectIT is the leading Open Source APM
inspectIT is the leading open-source APM (application performance management) tool for monitoring and analyzing your Java(EE) software applications. Various sensors capture end-to-end information for every request from the end user, to the business tier all the way to the backends. inspectIT is based on an application-centric, business-focused approach, where each technical request is mapped to an application and to a business use case. With inspectIT you always know about the health of your... -
6
JPIV
Particle Image Velocimetry
JPIV is a platform independent, graphical stand-alone application for Particle Image Velocimetry (PIV) written in Java. PIV is an optical technique for measuring fluid flow velocities. JPIV moved to GitHub. Please visit us at: https://eguvep.github.io/jpiv/ -
7
JStats
JStats is a Java application/applet for statistical testing.
...The following tests are supported: * Parametric tests: T-test, ANOVA, Repeated Measures ANOVA * Non-parametric tests: Wilcoxon Rank-Sum, Wilcoxon Signed-Ranks, Kruskal-Wallis, Friedman * Check if datasets are normally distributed: Jarque-Bera, Shapiro-Wilk * Check if datasets have equal variances: F-test, Bartlett's test, John, Nagao and Sugiura's test * Correlation: Correlation coefficient, Spearman Rank correlation, linear regression * Confidence intervals test * Outliers: Generalized Extreme Studentized (ESD) test, outliers in ANOVA The latest version is available as applet on http://aiguy.org/Statistics.html -
8
CorReactive
Event correlation engine with reactive facilities
Correlation engine based on Esper library which can be used together with Logstash. Please read FAQ http://sourceforge.net/p/correactive/wiki/FAQ/ -
9
DE-HEoC
DE-based Weight Optimisation for Heterogeneous Ensemble
We propose the use of Differential Evolution algorithm for the weight adjustment of base classifiers used in weighted voting heterogeneous ensemble of classifier. Average Matthews Correlation Coefficient (MCC) score, calculated over 10-fold cross-validation, has been used as the measure of quality of an ensemble. DE/rand/1/bin algorithm has been utilised to maximize the average MCC score calculated using 10-fold cross-validation on training dataset. The voting weights of base classifiers are optimized for the heterogeneous ensemble of classifiers aiming to attain better generalization performances on testing datasets. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
-
10
jAgg
jAgg - Java Aggregation Operations
jAgg is a Java 5.0 API that supports “group by” operations on Lists of Java objects: aggregate operations such as count, sum, max, min, avg, and many more. It supports Super Aggregation: Rollups, Cube, and Grouping Sets. It supports analytic operations such as lag/lead and row number and more. It also allows custom aggregate and analytic operations. -
11
Universal Java Matrix Package
sparse and dense matrix, linear algebra, visualization, big data
The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large number of file formats, and even the possibility to link to JDBC databases. Multi-dimensional matrices as well as generic matrices with a specified object type are supported and very large matrices can be handled even when they do not fit into memory. -
12
Cenobi
cost estimation and management accounting, using neural networks
Cenobi is designed for management accountants, not (only) for statisticians and data mining experts. Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to... -
13
...The following features were implemented in OpenFLUX2, which were not present in original software: integrated support for calculation and analysis of parallel labeling experiments (PLE), extended statistical analysis of parameter estimation results, calculation of fluxes and measurements correlation, structural identifiability analysis and elements of experimental design.
-
14
Statcato is a Java software application for elementary statistics. Its features include data and graph generation, probability distributions, descriptive statistics, confidence intervals, hypothesis tests, correlation, regression, and analysis of var
-
15
Correlation Calculator
Calculates the correlation coefficient for 2 sets of numerical data.
Calculates the Pearson correlation coefficient for two sets of numerical data. The user has the option to add values to either set of data with the corresponding Add button or the ENTER key. In addition, the user can select one or more values from each list at a time to remove them to change the calculation. The clear button will remove all values from its corresponding list. -
16
LogSeCA
SIEM based tool supporting audit and security assessment
...It provides the following main capabilities: » secure and reliable retention of audit records for reliability and accountability, even in case of the source of event/log fails or the logs on it are accidentally or intentionally cancelled; » correlation of audit records in order to identify violation of security policies in the different data centres of the cloud infrastructure, which it would be impossible to do if each data centre processed events separately; » alerting and notification to the interested parties (e.g. security manager of the storage infrastructure); » control on the status of the corrective actions; » reporting at different levels (for basic audit inspection, statistical) and for different purposes (for final users, for internal purposes, for auditing). ... -
17
Math Simulator
A simulation software for numerical techniques.
Math Simulator is a java-based application which simulates various mathematical techniques.It is extremely useful for the Engineering students and for professionals. Most importantly, unlike most others Math Simulator is an Application rather than a java - library. So, user is not required to have any computer background. A Unique feature of Math Simulator is that it allows you to save queries for later reference. Hence you can save the problems along with their results. -
18
CorrelaDiff
Compares text files and shows correlation between lines.
-
19
FeatureSelection
Feature selection methods including correlation feature selection.
Small bundle of feature selection algorithms, most notably correlation feature selection (CFS by Mark A. Hall). Provides a light-weight interface and published under BSD license. -
20
The Panopticode project provides a standardized format for describing the structure of software projects and integrates metrics from several tools into that format. Reporting options provide correlation, historic analysis, and visualization.
-
21
The MCAS Project ( Metrics Correlation and Analysis service ) provides integral solution for system operators or VO users to uniformly access, transform and represent disjoint metrics data generated by distributed middle ware or user services.
-
22
DAD is a Windows event log and syslog management tool that allows you to aggregate logs from hundreds to thousands of systems in real time. DAD requires no agents on the servers or workstations. Correlation and analysis is driven through a web front end.
-
23
GEM is a computational method for identification of transcription factor modulators, using expression datasets. The method tests if the correlation between factor and target gene depends on the expression of the modulator.
-
24
Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.
-
25
IReNNS (Indipendent Recurrent Neural Network for Structures) is a recursive self-organizing neural network able to learn scalar functions on graphs. Derived from Cascade-Correlation. Developed by Antonino Trovato at Politecnico di Milano.
