Search Results for "data mapping" - Page 11
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Showing 702 open source projects for "data mapping"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Elasticquent
Maps Laravel Eloquent models to Elasticsearch types
Elasticsearch for Eloquent Laravel Models. Elasticquent makes working with Elasticsearch and Eloquent models easier by mapping them to Elasticsearch types. You can use the default settings or define how Elasticsearch should index and search your Eloquent models right in the model. Elasticquent uses the official Elasticsearch PHP API. To get started, you should have a basic knowledge of how Elasticsearch works (indexes, types, mappings, etc). When using a database, Eloquent models are populated from data read from a database table. ... -
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Wind Path Visualization tool (WPV) is a simple model for tracking wind trajectories using measurement data (wind direction, wind speed, gas concentration) at a actual location. It has the following features.
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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... -
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Enlive
Selector-based templating and transformation system for Clojure
Enlive is a Clojure library for HTML templating, transformation, and scraping, supporting composable manipulation of HTML/XML in a functional style. It allows selecting, transforming, and generating HTML fragments using CSS selectors, and supports server-side template composition, dynamic pages, and content rewriting. By default selector-transformation pairs are run sequentially. When you know that several transformations are independent, you can now specify (as an optimization) to process... -
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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EVReflection
Reflection based (Dictionary, CKRecord, NSManagedObject, Realm, JSON
At this moment the master branch is tested with Swift 4.2 and 5.0 beta If you want to continue using EVReflection in an older version, then use the corresponding branch. Run the unit tests to see EVReflection in action. In most cases, EVReflection is very easy to use. Just take a look at the section It's easy to use. But if you do want to do nonstandard specific things, then EVReflection will offer you an extensive range of functionality. -
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The Moqui Ecosystem is a series of open source components for enterprise applications all built on a common framework (Moqui Framework) written in Java and Groovy. The components include tools that plug in to the framework, business artifacts, and applications. Some of the popular tool plug ins include ElasticSearch, Apache FOP, Apache Camel, OrientDB, and Hazelcast. The business artifacts later includes a universal data model (mantle-udm), service library (mantle-usl), reusable...
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MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
MUSE is a framework for learning multilingual word embeddings that live in a shared space, enabling bilingual lexicon induction, cross-lingual retrieval, and zero-shot transfer. It supports both supervised alignment with seed dictionaries and unsupervised alignment that starts without parallel data by using adversarial initialization followed by Procrustes refinement. The code can align pre-trained monolingual embeddings (such as fastText) across dozens of languages and provides standardized evaluation scripts and dictionaries. By mapping languages into a common vector space, MUSE makes it straightforward to build cross-lingual applications where resources are scarce for some languages. ... -
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JAS-mine
Toolkit for agent-based & dynamic microsimulation modelling
JAS-mine is a Java platform that aims at providing a unique simulation tool for discrete-event simulations, including agent-based and microsimulation models. With the aim to develop large-scale, data-driven models, the main architectural choice of JAS-mine is to use whenever possible standard, open-source tools already available in the software development community. It has built-in utilities for communicating with an underlying relational database. In addition, the platform provides... -
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LaueTools
open source python packages for X-ray MicroLaue Diffraction analysis
LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools -
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gt-jdbc-korean
Korean Spatial DBMS Driver
The Development of Domestic Spatial DBMS Driver supporting java based Open Source GIS(GeoServer, uDig) ● Manual: - https://sourceforge.net/projects/gt-jdbc-korean/files/GeoServer-uDig_KoreanSpatialDBMS_Manual_ko_v.1.0.pdf ● DataStore plugins: - Altibase Plugin( http://www.mangosystem.com:8080/gxt/docs/data/database/altibase.html ) - Tibero Plugin( http://www.mangosystem.com:8080/gxt/docs/data/database/tibero.html ) - Kairos Plugin(... -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This... -
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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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TaBS-Pipe
Targeted Bisulfite Sequencing Data Analysis Pipeline v1.0.2
A pipeline to analyze the data obtained from targeted bisulfite sequencing through the ion-torrent platform. TaBSAP is a pipeline to map bisulfite treated sequencing reads to a genome of interest and perform methylation calls in a single step and enables a researcher to analyze the methylation levels of their samples straight away. It's main features are: -Bisulfite mapping and methylation calling in one single step -Supports single-end read alignments -Alignment seed length, number of mismatches etc. are adjustable -The output gives heatmap with categories. -
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MaRC (Map Reprojections and Conversions) is a C++ library and program designed to produce map projections of bodies thay may be represented as oblate spheroids from digital images (e.g. FITS images) or computed values (e.g. incidence and emission angles).
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A key goal for NEMO is the development of a formal logic (“ontology”) to support data sharing, logic-based queries and mapping/integration of patterns across data from different labs, different experiment paradigms, and different modalities (EEG/MEG)
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MIRA V5 is available only on GitHub! The V4 version released here on SourceForge stay up as some automated release fetching packages rely on V4. MIRA - Sequence assembler and sequence mapping for whole genome shotgun and EST / RNASeq sequencing data. Can use Sanger, 454, Illumina and IonTorrent data. PacBio: CCS and error corrected data usable, uncorrected not yet.
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Ardent
Self-validating, secure and smart models for Laravel's Eloquent ORM
Self-validating, secure and smart models for Laravel's Eloquent ORM. Based on the Aware bundle for Laravel 3 by Colby Rabideau. Add laravelbook/ardent as a requirement to composer.json. You can also add the package using composer require laravelbook/ardent and later specifying the version you want (for now, dev-master is your best bet). The magic-dust-powered, wrist-friendly, one-stop solution to all your dreary input sanitization boilerplates! Puns aside, input validation functionality can... -
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A genome wide mapping data interpretation platform for NGS(ChIPSeq). A tutorial can be found at: http://genomeast.igbmc.fr/wiki/doku.php?id=training:seqminer
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BEAST
BEAST is a tool dedicated to assess political goals of woody bioenergy
The BioEnergy Allocation and Simulation Tool (BEAST) is a tool dedicated to assess political goals of woody bioenergy production in the context of available biomass potentials and corresponding economic and ecological criteria on a regional level. It is a useful tool in participative decision making processes by iterative simulation and visualization of complex issues. BEAST is a data- and model-driven Decision Support System (DSS) evaluating woody biomass potentials from forests, hedges... -
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go-kallax
Kallax is a PostgreSQL typesafe ORM for the Go language
go-kallax is a type-safe ORM for Go, designed to work seamlessly with PostgreSQL. It generates Go code from your database schema using model definitions, allowing for clean and performant data access without raw SQL. The library is built with Go idioms in mind and focuses on compile-time safety and ease of use. -
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Kundera
A JPA 2.1 compliant Polyglot Object-Datastore Mapping Library
Kundera is an object-database mapping library (ODM) for NoSQL databases, allowing Java applications to interact with various NoSQL data stores using JPA (Java Persistence API). -
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gvSIG CE (Community Edition)
The full-featured, easy-to-use desktop GIS with real processing power!
The Community Edition (gvSIG CE) is a fork of the gvSIG desktop GIS project (http://www.gvsig.org). It is open to external contributors and fully community-driven. Our official releases are designed to be portable and include all necessary binaries for Linux, Mac OS X and Windows. No installation necessary: Just download, unpack and run! -
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Vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python
...Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted). Cut development cut development time by 80%. Your prototype is your solution. Create automatic pipelines for any model. -
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Toapi
Convert websites into structured APIs automatically with Python tool
Toapi is a Python library designed to transform ordinary websites into usable API services. Instead of building a traditional web crawler that collects and stores data before exposing it through an API, Toapi simplifies the process by allowing developers to define data structures that automatically generate an API layer from existing web pages. It works by parsing HTML content from a source site and mapping selected elements into structured data that can be returned as JSON through API endpoints. ... -
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DL Book Notation
LaTeX files for the Deep Learning book notation
This repository collects and standardizes mathematical notation, typographic conventions, and symbol definitions used in the Deep Learning Book (by Goodfellow, Bengio & Courville). Its main goal is to provide a canonical reference for notation so that derivative works (papers, lectures, tutorials) can align notation consistently. The content includes LaTeX macros, notation tables (e.g. symbols for vectors, tensors, functions, loss, activation), and cross-references mapping symbols to their...
