Search Results for "scientific plotting software"
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Showing 239 open source projects for "scientific plotting software"
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Optuna
A hyperparameter optimization framework
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API. Thanks to our define-by-run API, the code written with Optuna enjoys high modularity, and the user of Optuna can dynamically construct the search spaces for the hyperparameters. Optuna Dashboard is a real-time web dashboard for Optuna. You can check the optimization history, hyperparameter importances, etc. in graphs and... -
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GeoStats.jl
An extensible framework for geospatial data science
GeoStats.jl is a Julia framework for geospatial data science and geostatistical modeling. It’s fully implemented in Julia and designed to provide an extensible, high-performance stack that handles spatial domains, interpolation, simulation, learning, and visualization. The package is modular: it breaks out geometry, spatial domains, transforms, variograms, covariance models, and modeling into subpackages (e.g., GeoStatsBase, GeoStatsModels, GeoStatsTransforms). Users can represent... -
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QPanda 2
QPanda 2 is an open source quantum computing framework
QPanda2 is an open source quantum computing framework developed by Origin Quantum, which can be used to build, run and optimize quantum algorithms. QPanda2 is the basic library of a series of software developed by Origin Quantum, which provides core components for QRunes, Qurator and quantum computing services. -
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Brim
Application to efficiently search and analyze super-structured data
Desktop application to efficiently search and analyze super-structured data. Powered by Zed. Zed is a system that makes data easier by utilizing our new super-structured data model. Brim is a desktop app to explore, query, and shape the data in your super-structured data lake. Brim is an open source desktop application for security and network specialists. Brim makes it easy to search and analyze data from packet captures, like those created by Wireshark, and structured logs, especially from... -
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L7
Large-scale WebGL-powered geospatial data visualization analysis
L7 is a WebGL-based open source large-scale geospatial data visual analysis development framework launched by Ant Financial's AntV data visualization team. The L in L7 stands for Location, and the 7 stands for the seven continents of the world, implying the ability to provide visual analysis for global location data. L7 focuses on the visual expression of data, and realizes clear and effective expression from data to information through the setting of visual variables such as color, size,... -
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ModelingToolkit.jl
Modeling framework for automatically parallelized scientific ML
ModelingToolkit.jl is a modeling language for high-performance symbolic-numeric computation in scientific computing and scientific machine learning. It then mixes ideas from symbolic computational algebra systems with causal and acausal equation-based modeling frameworks to give an extendable and parallel modeling system. It allows for users to give a high-level description of a model for symbolic preprocessing to analyze and enhance the model. Automatic symbolic transformations, such as... -
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Sming
Open source framework simplifying the creation of C++ applications
Sming is an asynchronous embedded C/C++ framework with superb performance and multiple network features. Sming is open source, modular and supports multiple architectures including ESP8266 and ESP32. Superb performance and memory usage (Sming compiles to native firmware!) Fast and user-friendly development. Integrated host emulator to assist with developing, testing, and debugging libraries and applications on a PC before uploading them to an actual microcontroller. Built-in powerful... -
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Mergo
Mergo: merging Go structs and maps since 2013
A helper to merge structs and maps in Golang. Useful for configuration default values, avoiding messy if-statements. Mergo merges same-type structs and maps by setting default values in zero-value fields. Mergo won't merge unexported (private) fields. It will do recursively any exported one. It also won't merge structs inside maps (because they are not addressable using Go reflection). Also a lovely comune (municipality) in the Province of Ancona in the Italian region of Marche. Keep in mind... -
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Doctor Dok
Doctor Dok is an AI based medical data framework
Store, manage, and understand your medical history in one secure place that only you can access. Built to protect your privacy with full end-to-end encryption. Convert all your Blood Tests, MRI Scans, TK Scans, Visit reports, and Hospital Admission Reports to JSON, safely store in the cloud, and discuss, annotate, and translate them with AI. Doctor Dok is a secure storage, digitization, sharing, and AI discovery platform for all your family and/or folder health data. All health history -... -
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JeeSite
A basic enterprise information development platform
JeeSite is a high-efficiency, high-performance, and strong security open source Java EE rapid development platform based on a number of excellent open source projects, highly integrated and packaged. JeeSite is the best basic platform solution for you to quickly complete your project. JeeSite is the best study case for you to learn the Java platform. JeeSite is also the best assistant for private work. JeeSite is a Java-based development platform built on the Spring Framework, with Spring... -
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Bacalhau
Community-driven, simple, yet powerful framework
Bacalhau is a decentralized compute platform for running jobs on data stored across distributed networks, like IPFS or Filecoin, without moving the data to centralized cloud environments. It allows developers to run containerized workloads close to where the data lives, reducing latency, cost, and privacy risks. Bacalhau supports various runtime environments and is designed to make decentralized data processing as accessible as traditional cloud computing. It’s especially useful for... -
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Catlab.jl
A framework for applied category theory in the Julia language
Catlab.jl is a framework for applied and computational category theory, written in the Julia language. Catlab provides a programming library and interactive interface for applications of category theory to scientific and engineering fields. It emphasizes monoidal categories due to their wide applicability but can support any categorical structure that is formalizable as a generalized algebraic theory. First and foremost, Catlab provides data structures, algorithms, and serialization for... -
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SIA
AI framework to autonomously improve the performance of any AI system
SIA is a self-improving AI framework designed to improve the performance of models or agents on benchmark tasks. It uses an iterative loop where a meta-agent creates or updates a task-specific target agent, while a feedback agent studies results and proposes improvements. The framework can refine both the harness around the task and the agent implementation itself. It is aimed at research and experimentation across tasks such as machine learning benchmarks, legal classification, code... -
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Hibernate
An object relational-mapping (ORM) library for Java
The Hibernate projects offer a suite of powerful Java libraries to work with data. It is best known for Hibernate ORM, which provides relational persistence for Java models and is an implementation of the Jakarta Persistence specification. Hibernate projects do not consistently release binaries or documentation to SourceForge anymore. For up-to-date information, refer to the Hibernate website: * Hibernate ORM: https://hibernate.org/orm/ * Hibernate Validator:... -
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IM is a toolkit for Digital Imaging. IM is based on 4 concepts: Image Representation, Storage, Processing and Capture. The main goal of the library is to provide a simple API and abstraction of images for scientific applications.
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An open source implementation of the High Level Architecture Run-Time Infrastructure. Focused on modularity and flexibility, Portico provides an extensible environment to support HLA simulation development and research.
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Grassroots DICOM
Cross-platform DICOM implementation
Grassroots DiCoM is a C++ library for DICOM medical files. It is accessible from Python, C#, Java and PHP. It supports RAW, JPEG, JPEG 2000, JPEG-LS, RLE and deflated transfer syntax. It comes with a super fast scanner implementation to quickly scan hundreds of DICOM files. It supports SCU network operations (C-ECHO, C-FIND, C-STORE, C-MOVE). PS 3.3 & 3.6 are distributed as XML files. It also provides PS 3.15 certificates and password based mecanism to anonymize and de-identify DICOM datasets. -
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Eclipse 4diac
Eclipse 4diac the open source solution for industrial automation
Eclipse 4diac is an open source PLC environment allowing to implement industrial control solutions in a vendor neutral way. 4diac implements IEC 61499 extending IEC 61131-3 with improved support for controller to controller communication and dynamic reconfiguration. With that 4diac provides the infrastructure for Industrie 4.0 and industrial IoT. Further information and the latest versions can be found here: https://eclipse.dev/4diac/ -
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The MITK Workbench is a free, open-source application for medical image visualization, segmentation, registration, and much more. Beyond the Workbench application, MITK is a comprehensive C++ framework for medical image computing. It provides a modular foundation for extending the MITK Workbench with custom plugins or developing your own medical imaging applications and research prototypes.
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NOTE THAT THE SOURCE CODE AND ISSUE TRACKER HAVE NOW MOVED TO GITHUB. FIND US AT https://github.com/GateNLP/ GATE (General Architecture for Text Engineering) is an architecture, framework and development environment for developing, evaluating and embedding Human Language Technology. See http://gate.ac.uk for full details.
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Biosphere3D
Interactive landscape rendering based on a virtual globe.
Biosphere3D targets interactive landscape rendering based on a virtual globe. It supports DEM, satellite and aerial images, 3D models (Collada), 3D plant models, and Shapefiles. Biosphere3D was initially developed by the landscape visualization group of the Zuse Institute Berlin by Malte Clasen and is now developed further by Lenné3D GmbH. For more information about the used concepts have a look at the thesis of Malte Clasen: Towards Interactive Landscape Visualization Doctoral... -
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stkpp
C++ Statistical ToolKit
STK++ (http://www.stkpp.org) is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions (http://cran.at.r-project.org/web/packages/rtkore/index.html). At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template... -
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E-Learning Simulator: VUONG-DCP
Data Compression Simulator for E-Learning:
Data Compression Simulator for Text, Sound, Images and video-clips. Variable Data Compression methods could be applied. Simulators has a web client for E-Learning. It is focused for students and data compression interests., Support-WIKI https://sourceforge.net/p/vuong-dcp/wiki/Home/ Project founder: Dr. The Anh Vuong (Admin) https://vuongblog.wordpress.com/vuong-publications/ -
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libCIGI
C++ Library for the Common Image Generator Interface
libCIGI (library for Common Image Generator Interface) is a lightweight header only library that provides interfaces for communication between CIGI hosts and image generators. Currently versions 3.0, 3.2 and 3.3 are supported as well as support for the *draft* V4.0 CIGI standard. Additional functionality to the base packet interfaces is provided through external classes so that to the packet headers have no further dependencies. Packet processing is kept simple and a couple of simple helper... -
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Fuzzy machine learning framework
A library and a GUI front-end for fuzzy machine learning
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent...