Search Results for "core-analyzer"
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Showing 48 open source projects for "core-analyzer"
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BridgeLab
Open-source HL7 v2 & FHIR workbench for integration engineers
...Open, edit and validate HL7 v2 and FHIR messages with schema-aware highlighting, send and receive over MLLP or HTTP, mask PHI before sharing samples, run FHIRPath queries, and batch-validate whole folders. Built in Rust for speed, works fully offline — the free Community core is MIT-licensed; Pro adds the listener, batch tools, full schema catalogue and more. -
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ecang
Ethercat analyzer. Pcapng (by wireshark) to cvs files converter.
To diagnose a problem or simply to study the internal flow of information in an ethercat fieldbus, one of the common practices is to capture the flow of ethercat datagrams with an ethernet sniffer such as Wireshark (www.wireshark.org). Wireshark provides some filters to facilitate data analysis but the high amount of recorded information still makes an analysis complicated for many people who do not have a very deep knowledge of the ethercat protocol and Wireshark tools. Ecang can help... -
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Dshell
Dshell is a network forensic analysis framework
...By extension, dpkt and pypcap have been replaced with Python3-friendly pypacker and pcapy (respectively). Enables development of external plugin packs, allowing the sharing and installation of new, externally-developed plugins without overlapping the core Dshell libraries. Plugins can now use all output modules, available to the command line switch, -O. That does not mean every output module will be useful to every plugin (e.g. using netflow output for a plugin that looks at individual packets), but they are available. -
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TXM
Unicode XML TEI text analysis platform
TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Idream_gl02
Tweet analyzer for a school project at UTT course GL02
This project is a tweet analyzer, the aim of the project is to assist a communication company to measure the impact of an event on Twitter. This project is under BSD Licence. -
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Korean Analyzer Rhino
Parsing Korean words by morpheme and part-of-speech
RHINO parses Korean words by morpheme and part-of-speech. Its dictionaries are based on Korean Modern Tagged Corpus(12 million phrases scale) which was made by Korean government. So it analyses many cases of stems and endings. And the newly developed Dynamic Dictionary Technology can make words to react with their context. That is, a programmed database. For more information see the files in the help folder. -
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MMAP
Multi-core Method for Analysis Pipelines
For more information, please see home page. -
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codelyzer
Static analysis for Angular projects
A set of tslint rules for static code analysis of Angular TypeScript projects. (If you are using ESLint check out the new angular-eslint repository.). You can run the static code analyzer over web apps, NativeScript, Ionic, etc. Note that by default all components are aligned with the style guide so you won't see any errors in the console. Codelyzer supports any template and style language by custom hooks. If you're using Sass for instance, you can allow codelyzer to analyze your styles by creating a file .codelyzer.js in the root of your project (where the node_modules directory is). ... -
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The Sceptics Global Warming Analyzer
Data Analyzer for Global Warming Sceptics
A basic tool for importing, parsing, exporting, and analyzing the GHCN Weather Station Data. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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AI learning
AiLearning, data analysis plus machine learning practice
...The number of Github Stars exceeds 60k, and it ranks in the top 100 of all Github organizations. The daily up of all its websites exceeds 4k, and the peak of Alexa ranking is 20k. Our core members are certified as CSDN blog experts and short-book programmers as excellent authors. We have established ApacheCN, a non-profit document, and tutorial translation project. -
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FORTRAN Unit Test Framework (FRUIT)
FORTRAN Unit Test Framework FRUIT - TDD in FORTRAN
...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. Rake is to build the project elegantly. This project also demonstrate a new way to build mixed language code in an alternative way than Make. Most of the FORTRAN are important in nature, used in nuclear and aerospace codes, etc, and maintained and written actively. ... -
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tv16k7
trace viewer and bus decoders for data captured by Agilent 16700 LA
...The tool tries to be self descriptive and get as many information as possible from HP16700 for better documenting labor: e.g. test cases, spotted issues and so on. Keywords: Linux, C, C++, Qt, Qt4, Agilent/HP 16700 logic analyzer, Bus decoders (inverse assemblers), bus probing, bus protocol analyze -
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DataCleaner
Data quality analysis, profiling, cleansing, duplicate detection +more
DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Website: http://datacleaner.github.io -
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Welsh Natural Language Toolkit
WNLT is a suite of open source natural language modules for the Welsh
The project supports the Welsh Language Technology domain with a set of NLP tools that drive innovation and advance the development of sophisticated textual analysis solutions. The WNLT project delivers four core NLP modules; a) Word Segmentation for separating text into words b) Sentence Boundary Disambiguation for finding sentence boundaries c) Part of Speech Tagger for determining the part of speech of each word d) Morphological Analyser for identifying the root form (lemma) of words. The modules are written in JAVA and ‘wrapped’ for execution under the General Architecture for Text Engineering (GATE) framework. ... -
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Automalator
State Dependency deconstructor and mapper for C source code.
...Every C source file is an implemention of a state machine. Implicit in the definition of a state machine is a network of dependencies between the states. The Automalator * deconstructs the C code into the core state machine * collates the transactions into the dependency net * generates a diagram-format file with the states and dependencies as the nodes and edges. Pre-requisites * Perl - tested with versions 5.12.3, 5.14.2 and 5.20.2, Windows, Linux and MAC * Get the Automalator by downloading the zip, or checking out or exporting the SVN trunk * copy the source code of interest into "project.c" * windows - double-click "src2map.bat" * linux & MAC - navigate the command line to the "project" folder, then run "src2map.sh" * open "project.gml" file with diagramming software. -
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Hunspell is a spell checker and morphological analyzer library and program designed for languages with rich morphology and complex compounding or character encoding. Hunspell interfaces: Curses, Ispell compatible pipe interface, OpenOffice.org UNO module
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Workbench for visualizing biological networks (regulatory, interaction, and metabolic). Can be used as a front-end for BNDB datawarehouses, but also as stand-alone tool.
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scipion-xmipp
Image processing framework to integrate EM software packages.
...Additionally, all steps are tracked and can be reproduced later on. Xmipp is a well-known package in the EM image processing. It is integrated into Scipion and contains the algorithms in the core libraries and command line programs. -
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Text Analyzer
Text analyzing software
An application developed in C using the list and the AVL tree data structures, which analyzes a text (.txt file) giving the following information as an output: 1. the total occurrences of every word in the text 2. the exact line of every occurrence of every word 3. the exact position in the line of every occurrence of every word 4. the exact paragraph of every occurrence of every word 5. the exact sentence of every occurrence of every word The output is also written in a .txt file in the same directory as the Text Analyzer executable file. -
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Texalyzer
Text analyzer
Analyzes text document using TF-IDF and optionally stopword list, and extracts important keywords. -
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A web-based interface for the Hadoop MapReduce framework that simplifies the process of writing and running MapReduce jobs. Aimed at introducing parallelism concepts in introductory computer science courses.
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Arachne
Exploration of a Hierarchical+Functional Approach To Data Organization
This is dedicated to development of a small class for organizing data in both a traditional parent<->child hierarchy and by the functions used to generate child data nodes from parent data. The core of the project is in the class definitions contained within arachne.py, a demonstration of how this method of arranging data can be used to solve a relatively interesting problem may be found in test.py -
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EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.
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CRFSharp
CRFSharp is a .NET(C#) implementation of Conditional Random Field
...Moreover, it has many significant improvement than CRF++, such as totally parallel encoding, optimizing memory usage and so on. Currently, when training corpus, compared with CRF++, CRF# can make full use of multi-core CPUs and only uses very low memory, and memory grow is very smoothly and slowly while amount of training corpus, tags increase. with multi-threads process, CRF# is more suitable for large data and tags training than CRF++ now. For example, in machine with 64GB, CRF# encodes model with more than 4.5 hundred million features quickly. -
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An elevator (lift) system analysis and design tool. The main goal of the project is to produce the ultimate platform for comparing elevator control algorithms (call scheduling systems).
