Search Results for "notation"
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Showing 14 open source projects for "notation"
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Flask-Limiter
Rate Limiting extension for Flask
...By adding the extension to your flask application, you can configure various rate limits at different levels (e.g. application wide, per Blueprint, routes, resource etc). To include extra dependencies for a specific storage backend you can add the specific backend name via the extras notation. -
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django-viewflow
Reusable workflow library for Django
...Viewflow is the library that offers an additional layer of Django web framework, allows explicitly specific people's workflow and extracts collaboration logic from Django views. Business process management and notation standard. It is a graphical notation readily understandable by all business stakeholders and software developers. Viewflow bridges the gap between a picture as the software specification and the working solution. -
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PRML
PRML algorithms implemented in Python
...Rather than just summarizing concepts, the repository includes working code that demonstrates linear regression and classification, kernel methods, neural networks, graphical models, mixture models with EM algorithms, approximate inference, and sequential data methods — all following the book’s structure and notation. Many of these algorithms are paired with Jupyter notebooks that let users interact with the code, visualize results, and experiment with parameters in a way that deeply strengthens theoretical understanding. -
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latexify
A library to generate LaTeX expression from Python code
...The tool aims to preserve semantics such as exponentiation, summations, products, piecewise definitions, and function application while hiding Pythonic scaffolding. Users can control rendering details for names and operators so the output conforms to a project’s notation style. Because it works directly from Python source, it enables a tight authoring loop. -
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5
CommandlineConfig
A library for users to write configurations in Python
CommandlineConfig is a lightweight Python library designed to simplify managing configuration parameters for experiments and applications, especially in research workflows that require frequent tweaking of hyperparameters. It lets you define configuration in familiar Python dictionaries or JSON files and then access nested parameters via dot notation in code, improving readability and reducing boilerplate. One of its core strengths is the ability to override configuration values directly from the command line, making it convenient to run many experimental variants without editing files repeatedly. The library supports arbitrarily deep nested structures, type handling, enumerated value constraints, and even tuple types, which are common in ML experiment setups. ... -
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itamm
Tool to design and share enterprise solutions, services and processes
...IT(A)-MM is a tool to design models of solutions, services and enterprise processes. It allows you to visualize data using popular BPMN and ArchiMate visualization notation. It also has its own extensible notation for visualizing enterprise environment objects. IT(A)-MM is easy to use and allows you to use it wherever you are. Using IT(A)-MM can be the first step towards deploy of the AIAS "A-STACK" to the enterprise environment. AIAS "A-STACK" is the complex tool for enterprise architecture management, IT infrastructure monitoring, meta-data management. ... -
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The GUIDOLib provides a powerful engine for the graphic rendering of music scores, based on the Guido Music Notation format. It supports Linux, Mac OS X, Windows, Android and iOS operating systems. A Java JNI interface is available as well as a Javascript version of the library. A Web API has also been designed, allowing to deploy the engine as a Web service.
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yapydata
Lower-Layer unified data - JSON, XML, YAML + INI, CFG, properties
...The initial supported DDLs are: * JSON, XML, YAML and the formats * INI, CFG, .properties The yapydata in particular supports the advanced access to data entries by mapping the dotted-OID notation onto mixed in-memory data types, optional including non-conformant tyeps such as tuple and set. -
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UniCC LALR(1) Parser Generator
Parser generator, targetting C, C++, Python, JavaScript, JSON and XML
UniCC (UNIversal Compiler-Compiler) compiles an augmented grammar definition into a program source code that parses the described grammar. Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML. -
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10
MSCViewer
A tool for visualization and analysis of logs as sequence diagrams
MSCViewer is a tool intended for debugging of control flows in concurrent, distributed systems. The tool loads logs generated by various entities in the system and visualize a sequence diagram chart for events and interactions. The diagram is fully interactive: entity can be added/removed from the diagram and shuffled; events can be filtered, searched, highlighted and annotated with comments. MSCViewer features integration with a Python interpreter which allows writing Python scripts... -
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Python modules that wrap Lev Walkin's asn1c code. ASN.1 notation is translated to C-code and this code is built into python module that can der-encode and -decode structures from ASN.1 description.
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An AToM3 definition of a CASE framework for creating Zope products with files in the filesystem. The framework consists of a modelling notation ZProduct and a suit of related transformations.
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IdentifierCache is software designed to make it programming by voice easier. It provides two tools; voice command grammar that allows users to speak in Programming Notation with relative ease. A VS.Net addin to save the most recent identifiers.
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14
Testerman
A TTCN-3-inspired testing environment in Python
Testerman is an attempt to produce a TTCN-3 inspired test automation system without the strict typing model of the TTCN-3 test control notation that can be too heavy to be practical with non-stricly defined protocols. This is achieved by bringing TTCN-3 primitives and concepts to the Python programming language. It provides a complete environment to design, manage, execute and analyze automated tests, and can be used as a platform to develop test simulators (drivers and stubs) and prototypes of network applications.
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