Search Results for "statistical" - Page 4
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Showing 130 open source projects for "statistical"
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Complete Data Management for NonprofitsNewOrg is a robust platform built with enhanced features to help non-profit organizations that capture and integrate the information from all of their operational areas to better manage volunteers, clients, programs, outcome reporting, activity sign-ups & scheduling, communications, surveys, fundraising activities and Development campaigns. NewOrg can truly deliver an intuitive product that will help manage your Committees, Donors, Events, and Memberships so that the organization runs efficiently.
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Attack Surface Management | Criminal IP ASMCriminal IP’s Attack Surface Management (ASM) is a threat-intelligence–driven platform that continuously discovers, inventories, and monitors every internet-connected asset associated with an organization, including shadow and forgotten resources, so teams see their true external footprint from an attacker’s perspective. The solution combines automated asset discovery with OSINT techniques, AI enrichment and advanced threat intelligence to surface exposed hosts, domains, cloud services, IoT endpoints and other Internet-facing vectors, capture evidence (screenshots and metadata), and correlate findings to known exploitability and attacker tradecraft. ASM prioritizes exposures by business context and risk, highlights vulnerable components and misconfigurations, and provides real-time alerts and dashboards to speed investigation and remediation.
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Lihang
Statistical learning methods (2nd edition) [Li Hang]
Lihang is an open-source repository that provides educational notes, mathematical derivations, and code implementations based on the book Statistical Learning Methods by Li Hang. The repository aims to help readers understand the theoretical foundations of machine learning algorithms through practical implementations and detailed explanations. It includes notebooks and scripts that demonstrate how key algorithms such as perceptrons, decision trees, logistic regression, support vector machines, and hidden Markov models work in practice. ... -
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Presage
the intelligent predictive text entry platform
...Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic predictive algorithms. Presage's predictive capabilities are implemented by predictive plugins. Predictive plugins use services provided by the platform to implement multiple prediction techniques. -
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DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python
Welcome to DeepLearn. This repository contains an implementation of the following research papers on NLP, CV, ML, and deep learning. The required dependencies are mentioned in requirement.txt. I will also use dl-text modules for preparing the datasets. If you haven't use it, please do have a quick look at it. CV, transfer learning, representation learning. -
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...Ideally, this user-friendly platform will provide the user with many user-defined capabilities. Algorithm implementation for population pharmacokinetic analysis: The current project describes the marriage between PBPK modeling and population-based statistical analysis. The latter is necessary for parameter estimation when individual-level data is available. A critical aspect of this coupling is the implementation of an algorithm that would allow the performance of population-based statistical analysis. Although novelty is encouraged in regards to the algorithm, proposals could entertain approaches such as: a. ...
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Automate Proposals with AI in Microsoft Word.Automate your best practices, processes, and standards to guide your proposal writers, sales teams, and subject experts. And don’t worry, it’s so easy to use they will use it. We would love the opportunity to help you quantify the impact your business can expect from investing in Expedience Software. Click here to request a Return on Investment (ROI) calculation. In this 15-minute session, we will ask 20 simple questions to assess and grade your current proposal quality and scalability. Manual proposal processes are likely costing you far more than you realize. These models waste time and kill the productivity of proposal writers, sales team members, senior staff, and subject experts.
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DSTK - DataScience ToolKit
DSTK - DataScience ToolKit for All of Us
DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. -
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Krisk
Statistical Interactive Visualization with pandas+Jupyter integration
Krisk brings Echarts to the Python Data Science Ecosystem, and helpful tools for high-level statistical interactive visualization. -
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Waterloo
Java-based scientific graphics
Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab. -
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Gitinspector
The statistical analysis tool for git repositories
Gitinspector is a statistical analysis tool for git repositories. The default analysis shows general statistics per author, which can be complemented with a timeline analysis that shows the workload and activity of each author. Under normal operation, it filters the results to only show statistics about a number of given extensions and by default only includes source files in the statistical analysis. -
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Salstat2
statistical package designed for the end user, multiplatform
Salstat2 is an statistical package written in python and designed for the end user It has a graphical user interface and also it is scriptable, It's multiplatform, It has a graphic system inherited from matplotlib, It allows you to use different libraries like numpy - for numerical calculations, it also lets you to interact with Microsoft Excel (R) by using a com client under windows(R) platform and finally you can create your own dialogs by using the interactive shell or the script panel. -
Create engaging surveys on your tablet or computer with ease.Create great-looking surveys, forms, polls, voting, questionnaires, NPS, customer satisfaction, customer experience, employee satisfaction surveys... on your computer or tablet, customize the look of your survey however you like, & display collected data with eye-catching and insightful graphics.
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Phobos Application
Software for recording rodents' behavior during behavioral tests
...Phobos provides the possibility to easily calculate all possible experimental parameters at once immediately after the evaluation of the fear/anxiety level of each animal. All extracted files can be readily combined to one in order for statistical analyses to be performed. If you use Phobos for your research, please cite: Telonis AG, Margarity M.Phobos: a novel software for recording rodents' behavior during the thigmotaxis and the elevated plus-maze test. Neurosci Lett (2015) doi: 10.1016/j.neulet.2015.05.045 Paper link: http://www.sciencedirect.com/science/article/pii/S0304394015004103 For support, questions or feedback: atelonis@users.sourceforge.net -
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myCStock
An other free stock market software in C++/Python
A parser for real-time update of stock market prices and a graphical interface with technical indicators. It is a small personal project initiated for extending my knowledge in C++ and Python, designing a GUI and, in a next stage, applying mathematical and statistical models to stock market prices analysis and prediction. If you have the same interest than I in experimenting and disussing design software and statistical models in finance, you are welcome to join the project. If you are searching for a stable and complete software, you may come back later on... At the moment, the documentation is available on the Wiki and the source codes contain a doxygen configuration files which must compiled after downloading the source. -
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SCaVis
Scientific Computation and Visualization Environment
...The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. 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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iMir
Integrated pipeline for HT miRNA-Seq data analysis
Processing of smallRNA-Seq data to gather biologically relevant information requires application of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. The analytical workflow can be challenging for the continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular pipeline, called iMir, integrating multiple open source modules and resource in an automated workflow, devising different statistical approaches to analyze data rigorously. iMir comprises also a Graphical User Interface (GUI), so that the pipeline is particularly suited for biologist and early stage bioinformaticians and produces both graphics and text outputs. -
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globalsoilmap.net/GSIF AG toolbox
facilitating predictions of parameters using statistical models
streamline the DSM process in ArcGIS/Numpy/GDAL/Python using Sampling, Statistical elaboration, Prediction to allow the application of extended statistical models generated by the CUBIST (TM) or JMP (TM) software to a set of auxiliary input parameters, thereby bypassing the need to i) manually calculate the equations using Raster calculator; ii) use a grid-to-point conversion process prior to applying the prediction model in the statistical software itself and then a point-to-grid conversion process. -
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Open Delays
A program that gather trains delays data
...Delays are published by train companies, but only the current day is available. Open Delays intends to gather this data in the longer term, so users can have a statistical vision on the train they use, and control and identify structural problems in train exploitation. This also allows to know for example if the train you are stepping in had 15mn delay in 30% of the cases : if you have this kind of information, you know you will have probably a delay. -
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cpR Chemical Pathology interface for R
A graphical user interface to R for use in Clinical Chemistry
This project is a graphical user interface to the R statistical programming language designed for use in Clinical Chemistry. It allows the user to perform Passing Bablok, Deming and Linear Regression and to produce high quality images in any file format for publication. The front end is written in Python 3.3 and PyQt4 and the form was designed using Qt4 Designer. The statistical analysis is written in R. -
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SalStat is a small application for statistical analysis emphasising the sciences and social sciences (particularly Psychology). The project is designed around the user interface which has been designed to be simple to use. Think SPSS, but better!
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A python module that provides algorithms for advanced search - basically all you need to build a search engine.
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SE Auditor
Free SEO audit software.
SE Auditor is a program for analyzing web pages for search engines. SE Auditor is application that you can use to view statistical data about your website, in order to improve its position within the Web search results. SE Auditor is addressed to SEO professionals, website designers, developers, website testers and owners. SE Auditor enables you to check meta description, keywords, sitemap, the number of links and keyword consistency, the text/HTML ratio and many more ranking / usability / social factors. ... -
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Implementation in Python of some of the statistical methods provided by "asurv", the survival analysis software.
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Please participate in the SURVEY on rgedit's future: https://www.surveymonkey.com/s/VNMMJMJ your answers are much appreciated! Gedit (Gnome editor, www.gedit.org) plug-in allowing it to become an easy-to-use and yet light-weight IDE for the statistical programming environment, R (www.r-project.org).
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GISBox by Citiviz
Ready-to-use appliance for GIS, Data Mining and Analysis, Modelling...
GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software... -
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ScreenSifter
ScreenSifter is a unique tool for RNAi Screen analysis and management
ScreenSifter can help you in managing all your RNAi screens related projects in organized fashion. ScreenSifter, to perform the sequential, user friendly, guided, and advanced statistical analyses of RNAi screening results. User can upload their raw signal intensities and will avail complete quality control of screen, hit selection, plotting of hit genes with gene ontology, comparing of replicates or comparing of channels. In addition, ScreenSifter has visualization tools to plot specific genes or gene groups in the screen data. ... -
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MyNook
A machine learning system for supervised document classification
An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself. -
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Electrical Consumption Middleware: versatile PostgreSQL database creating scripts; database level permissions management; periodical series statistical prevision Scilab script; applet to visualize graphics and other.
