Search Results for "framework-arduinoststm32"
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Showing 44 open source projects for "framework-arduinoststm32"
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Dshell
Dshell is a network forensic analysis framework
An extensible network forensic analysis framework. Enables rapid development of plugins to support the dissection of network packet captures. This is a major framework update to Dshell. Plugins written for the previous version are not compatible with this version, and vice versa. By extension, dpkt and pypcap have been replaced with Python3-friendly pypacker and pcapy (respectively). -
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JeeSite
A basic enterprise information development platform
...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 MVC as the model view controller, MyBatis as the data access layer, Apache Shiro as the authority authorization layer, Ehcahe for caching common data, and Activit as the workflow engine. It is the best integration in the JavaEE world. JeeSite is mainly positioned in the field of enterprise informatization. It has built-in basic functions of enterprise informatization system and efficient code generation tools. -
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Brim
Application to efficiently search and analyze super-structured data
...Brim makes it easy to search and analyze data from packet captures, like those created by Wireshark, and structured logs, especially from the Zeek network analysis framework. Brim is especially useful to security and network operators that need to handle large packet captures, especially those that are cumbersome for Wireshark, tshark, or other packet analyzers. Inspired by the Unix-tools design pattern, everything Brim does can be run from the command line. Think of Brim's components like Lego blocks that you can easily interconnect and assemble. ... -
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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 features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use. -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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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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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. -
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FlexibleParser_Java
Group of multi-purpose Java-converted-from-C# parsing libraries.
FlexibleParser (Java) is currently formed by the following independent libraries/parts: - UnitParser. It allows to easily deal with a wide variety of situations involving units of measurement. - NumberParser. It provides a common framework for all the .NET numeric types. AUTHORSHIP & COPYRIGHT I, Alvaro Carballo Garcia (varocarbas), am the sole author of each single bit of this code. All the contents of this repository can be considered public domain. For more information about my copyright/authorship attribution ideas, visit https://customsolvers.com/copyright/. ... -
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FlexibleParser
FlexibleParser is a group of multi-purpose .NET parsing libraries.
FlexibleParser (C#/.NET) is currently formed by the following independent libraries/parts: - UnitParser. It allows to easily deal with a wide variety of situations involving units of measurement. - NumberParser. It provides a common framework for all the .NET numeric types. - DateParser. It enhances the default .NET date/time support. AUTHORSHIP & COPYRIGHT I, Alvaro Carballo Garcia (varocarbas), am the sole author of each single bit of this code. All the contents of this repository can be considered public domain. For more information about my copyright/authorship attribution ideas, visit https://customsolvers.com/copyright/. ... -
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A shell for using the methods of Contextual Logic to do qualitative data analysis, mathematical research on the theory underlying Conceptual Knowledge Processing, or learning Formal Concept Analysis. It uses the framework provided by the Tockit project..
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FORTRAN Unit Test Framework (FRUIT)
FORTRAN Unit Test Framework FRUIT - TDD in FORTRAN
FORTRAN Unit Test Framework, written in FORTRAN 95. So that all FORTRAN features can be tested. FRUIT has assertion, fixture, setup, teardown, report, spec, driver generation. Rake used as build tool. Tutorials at http://fortranxunit.wiki.sourceforge.net The core testing part is in FORTRAN, this part can be used independent of the Ruby codes. The Ruby code is to make fixtures and reports easier. -
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CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
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The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded.
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owl reasoning over big biomedical data
A OWL reasoning framework for the analysis of big biomedical data
A general OWL reasoning framework for the analysis of big biomedical data and implement a MapReduce-based property chain reasoning prototype system. OWL reasoning method is ideally suitable for problems involved complex semantic associations because it is able to infer logical consequences based on a set of asserted rules or axioms. MapReduce framework isused to solve the problem of scalability. -
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HRDAG
Framework for Hierarchical Graph Decomposition
This is a framework used to decompose hierarchical graphs, i.e.,graphs which were created from or contain a hierarchy of modules. Each module is reused several times in the hierarchy. This may be useful to reverse-engineer human constructs like electronic equipment, manufactured machines, or bureaucratic hierarchies; but also to decompose natural constructs like gene-relation or protein-relation nets. -
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Weka4OC GUI for Overlapping clustering
Weka4OC: Weka for Overlapping Clustering is a GUI extending WEKA
This is a GUI application for learning non disjoint groups based on Weka machine learning framework. It offers a variety of learning methods, based on k-means, able to produce overlapping clusters. The application also contains an evaluation framework that calculates several external validation measures. The application offers a visualization tool to discover overlapping groups. -
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BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
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Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques
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OpenEphyra is an open framework for question answering (QA). It retrieves answers to natural language questions from the Web and other sources. Visit http://www.ephyra.info/ for more details and information on joining this open research initiative.
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iGesture is a Java-based gesture recognition framework providing access to multiple gesture recognition algorithms and different input devices. The iGesture Workbench supports the definition and evaluation of customised gesture sets and algorithms.
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CAMEL (Content-based Audio and Music Extraction Library) is an easy-to-use C++ framework developed for content-based audio and music analysis. The framework provides a set of tools for easy Segmentation, Feature Extraction, Domain Extraction, etc.
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A graph persistence framework and associated toolkits based on a navigational query style. A default persistence engine is included for storing graph objects and properties into simple relational tables but the actual storage model is pluggable.
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Cyberinfrastructure Shell (CIShell) is an open source, community-driven framework/application for the integration and utilization of datasets, algorithms, tools, and computing resources. Algorithms can be integrated using most programming languages.
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easy fusion is a java-based framework that intends to automatically deploy and control information fusion systems (IFS) on distributed and dynamic resources.
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Open extensible system analysis report tool for Java, based on numerous open source analysis initiatives. The XML/XSL batch-processing framework produces integrated HTML/SVG reports of the systems current state and the development over time.
