Search Results for "function point analysis" - Page 7
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Showing 302 open source projects for "function point analysis"
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WaveletStat
Wavelet analysis of 1D and 2D statistical distributions
This is WaveletStat, a scientific software to analyse statistical distributions by Continuous Wavelet Transforms (CWTs). Taking an input random sample, it computes the corresponding CWT, filters out the noise based on a p-value criterion, and reconstructs a denoised model of the density function by matching pursuit iterations. The C++ code has two branches: the 1D branch can be used on 1D distributions only, while 1D2D can be used both on 1D and 2D distributions (though less optimal on... -
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Rainflow
Fast rainflow counting written in C (C99)
Rainflow Counting Algorithm (4-point-method), C99 compliant. "Rainflow Counting" consists of four main steps: 1. Hysteresis Filtering 2. Peak-Valley Filtering 3. Discretization 4. Four Point Counting Method: These steps are fully documented in standards such as ASTM E1049 "Standard Practices for Cycle Counting in Fatigue Analysis" [1]. This implementation uses the 4-point algorithm mentioned in [2]. -
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gsasnp2
PubMed ID: 29562348 / DOI: 10.1093/nar/gky175
* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data... -
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Spring Cloud Examples
Spring Cloud learning cases, service discovery, service governance
...For developers new to microservices or to Spring Cloud, this repo lowers the barrier to adoption by offering a ready-made baseline they can inspect, run, and modify. It can also function as a reference when designing architecture for a cloud-native backend, or as a starting point for a new microservices project. -
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MetaPhat -meta-pheno-association-tracker
Multivariate traits genome-wide association analysis and decomposition
MetaPhat is an open sourced program to detect optimal subset traits on lead SNP associations from multiple biomarker GWAS summary results. Best traits are derived from systematic decomposing multivariate associations into central traits based on optimal BIC and P-value from multivariate CCA models. SNP trace results are plotted and clustered to dissect and improve the specificity of mv phenotype-genotype associations. released with LD function... -
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TensorNets
High level network definitions with pre-trained weights in TensorFlow
High level network definitions with pre-trained weights in TensorFlow (tested with 2.1.0 >= TF >= 1.4.0). Applicability. Many people already have their own ML workflows and want to put a new model on their workflows. TensorNets can be easily plugged together because it is designed as simple functional interfaces without custom classes. Manageability. Models are written in tf.contrib.layers, which is lightweight like PyTorch and Keras, and allows for ease of accessibility to every weight and... -
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Subspace
Library for Reactive Dapp Development with auto syncing
Subspace is a framework agnostic JS library that embraces reactive programming with RxJS, by observing asynchronous changes in Smart Contracts, and providing methods to track and subscribe to events, changes to the state of contracts and address balances, and react to these changes and events via observables. Subspace also takes care of syncing under the hood, saving & loading the state in a local database. Methods are provided to track and subscribe to events, contract & state balances, and... -
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VStar
Multi-platform Variable Star Visualisation and Analysis
VStar is a multi-platform, easy-to-use variable star observation visualisation and analysis tool. Data can be read from a file or the AAVSO database, light curves and phase plots created, period analysis performed, and filters applied. Plugins can be developed, e.g. to make additional observation sources available. See also: 1. http://www.aavso.org/vstar-overview 2. http://www.aavso.org/forums/about-aavso/vstar 3. http://dbenn.wordpress.com/category/astronomy-science/vstar 4.... -
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cmplx
Validation of Fortran 2008 complex functions on branch cuts
Velvel (William) Kahan highlighted a lot of challenges in writing correct complex algebra code. Fortran 2008 extends the number of intrinsic functions accepting complex arguments. The aim of this project to stress test these intrinsics on conformal mapping with branch cuts. Of particular interest are function results on branch cuts (slits). IEEE 754-2008 behaviour, in particular plus and minus zero, is expected in all cases. The main driver will produce a PDF with conformal maps which should... -
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PHPCompatibility
PHP Compatibility check for PHP_CodeSniffer
PHPCompatibility is a set of rules for PHP_CodeSniffer that checks for PHP version compatibility in codebases. It helps developers identify features or syntax not supported in specific versions of PHP, which is critical for maintaining backward compatibility or upgrading PHP versions safely. It supports a wide range of PHP versions and is often used in CI workflows to ensure version compliance. -
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Harmonux
harmonic analysis with graphic
Harmonic Analysis (aka Fourier Analysis) Enter a table and get the harmonic function for the table. Open Source in Lazarus/Free Pascal Compiled for Linux and Windows. No installation, just unpack and click on the executable. ATENTION! -In my new instalation of Linux , the executable was not running, I don't know why. I think the windows version is working, but I didn't test it lately. -
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SmartPOS /Point of Sale Web with ERP
SmartPOS (Includes->SmartERP distro of Idempiere ERP) is 100% Web
SmartPOS 7.1 is a complete ERP+POS (Idempiere 7.1 Distro) , taking all the power of an ERP, but creating an intuitive , agile and easy to learn Point of Sale (POS) 100% Web . SmartPOS has been designed to work as part of the ERP, and support complex business environments, where you can manage different products per organization, different organizations per client, different warehouses per organization, and for each warehouse private config for your POS, price lists, taxes,... -
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ZM
A library to handle coroutine and green thread in C
ZM is a C library to handle continuations (coroutine, exception, green thread) with finite state machines. The library is written in C99 without external dependecy or machine-specific code and can be compiled in ansi-c or ansi-c++ with the minal effort to define two unsigned int type (uint8_t and uint32_t). -
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2D Structural Analysis
Determine the bending moments, shear forces, axial forces and displace
2D Structural Analysis in Python by Ritchie Vink A collection examples of 2D Finite Element Analysis (FEA) made with Jupyter Notebook Lab - https://jupyter.org/ To install Jupyter - https://jupyter.org/install ===== App is available on Play Store -> https://play.google.com/store/apps/details?id=com.ulm.struct If you want to download a python editor for your android smartphone follow this link -> https://play.google.com/store/apps/details?id=com.ulm.python -
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DeepSDF
Learning Continuous Signed Distance Functions for Shape Representation
DeepSDF is a deep learning framework for continuous 3D shape representation using Signed Distance Functions (SDFs), as presented in the CVPR 2019 paper DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation by Park et al. The framework learns a continuous implicit function that maps 3D coordinates to their corresponding signed distances from object surfaces, allowing compact, high-fidelity shape modeling. Unlike traditional discrete voxel grids or meshes, DeepSDF encodes shapes as continuous neural representations that can be smoothly interpolated and used for reconstruction, generation, and analysis. ... -
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Objective Function Analysis
An alternative to neural nets for machine learning.
Objective Function Analysis models knowledge as a multi-dimensional probability density function (MD-PDF) of the perceptions and responses (which are themselves perceptions) of an entity and an objective function (OF). The learning algorithm is the action of choosing a response, given the perceptions, which maximizes the objective function. The MD-PDF is initially seeded by a uniform random number generator. -
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Redux Persist
Persist and rehydrate a redux store
...The PersistGate component is the recommended way to delay rendering until persistence is complete. It works in one of two modes. Loading prop, the provided loading value will be rendered until persistence is complete at which point children will be rendered. And function children, the function will be invoked with a single bootstrapped argument. When bootstrapped is true, persistence is complete and it is safe to render the full app. -
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phpcs-security-audit v3
A set of PHP_CodeSniffer rules that finds vulnerabilities
phpcs-security-audit is a set of PHP_CodeSniffer rules that finds vulnerabilities and weaknesses related to security in PHP code. It currently has core PHP rules as well as Drupal 7-specific rules. The tool also checks for CVE issues and security advisories related to the CMS/framework. This enables you to follow the versioning of components during static code analysis. The main reason for this project being an extension of PHP_CodeSniffer is to have easy integration into continuous... -
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Twiggy
Twiggy is a code size profiler
...This makes Twiggy particularly useful in performance-sensitive environments such as web applications, embedded systems, and blockchain smart contracts, where minimizing binary size is critical. The tool offers multiple analysis modes that answer questions like why a function is present, how much space it consumes, and what dependencies pull it into the final binary. By surfacing insights about symbol sizes and call relationships, Twiggy enables developers to optimize builds, remove dead code, and improve load times. -
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Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. Explore Facets Overview and Facets Dive on the UCI Census Income... -
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GEOMS2
Geostatistics and geosciences modeling software
GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?... -
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OpenUnderwriter (Insurance Distribution)
Feature rich insurance quote & buy system for underwriters and brokers
OpenUnderwriter is an open source software house specialising in the development of IT solutions for the insurance market. Specialists in the areas of eBusiness and component based development, the team has developed technology for a number of major insurance companies. The OpenUnderwriter platform has been collaboratively developed by some of the best technical brains in the Insurance Industry and offers a viable alternative to traditional solutions. To date, OpenUnderwriter has been... -
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easy-dhpsf
GUI for fitting 3D single-molecule images using the double-helix PSF
This package of MATLAB routines with accompanying GUI allows scientific users to measure the 3D location of single molecules when using the double-helix point spread function (DH-PSF) widefield microscope. Version 2 also includes code that facilitates combining localization data from two spectral channels using a locally-weighted quadratic 3D registration function Features - Double-Gaussian estimator is calibrated via an axial scan of bright immobile fluorescent emitters (e.g. beads) - DH localization is performed through template matching and subsequent double Gaussian fitting - Tiff stacks of SM images are analyzed using template matching followed by double-Gaussian fitting to extract estimates of the molecule positions - Two spectral channels are registered by generating a locally-weighted quadratic mapping function from control point pairs -
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Batch PIE
A batch pipelined image editor
Current filter functionality: - Simple editing options: Image cropping, resizing, rotation, Color brightness curve alignment - Histobram processing: Convolution, statistics (e. g. f_max or median analysis) - Image segmentation: The actual segmentation process as well as group weight calculation for further filtering (both functions rely on self defined custom dynamic mathematical functions) - Dynamic mathematical functions for custom and automated image filtering: General mathematical operations, using image or matrix as f(x, y), export f(x, y) as image or matrix, mapping variables on other ones and of course boolean operation for case sensitivity - A flexible variables model of dynamic mathematical function that sets no restriction on particular variables count - Sub project support for an organized total process targeting to save time using previously created editing routines instead of redoing steps each time -
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TypeWiz
Automatically discover and add missing types in your TypeScript code
Manually adding types to your codebase can be a daunting task, especially given how much room there is for errors. It’s true that in some cases, the types will be obvious by just reading the code. But when I was adding types to a big project I inherited recently, I found myself actually running the code and setting a breakpoint inside a function to figure out the types that were being passed to it. This gave me an idea: build a tool that does this automatically and much faster, and then call...
