Search Results for "pam-python" - Page 13
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Showing 365 open source projects for "pam-python"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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pystats is a comprehensive Python module implementing algorithms for statistics and information theory, including probability distributions, descriptive statistics, analysis of variance, regression, and inference.
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SciGraphica is a scientific data visualization and analysis application, supplying many of the basic plotting features for 2D and 3D charts. It features opening several worksheets and plots to work with at the same time and PS output.
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Robotic Manipulator Development and Simulation Environment in Python and Blender. IMPORTANT: Development moved to github. http://github.com/ajnsit/r2d3
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The NHD Software Project is a collection of the utilities, scripts, APIs, standards, and application extensions used for the quality assurance of stream and river data, conflation/generalisation of hydrographic data, and other hydrologic data maintenance.
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Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
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SimED is a user-friendly Differential Equation simulation software. It can integrate numerically ODEs (Ordinary Differential Equations) using several methods, plot time and phase-space diagrams for variables, and interactively choose initial conditions.
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REPCAL (REverse Polish CALculator) is a light and fast calculator in RPN (reverse polish notation) mode for the console (command line). It is written in 180 lines of Python code, and can be used both interactively or inside shell scripts.
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The Wolfram Machine project is an effort to create a set of documentation and useful modules (both hardware and software) for a computing architecture based on the mathematical theories presented in Steven Wolfram's book _A_New_Kind_of_Science_.
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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The main goal of this project is to create a system-independent MathML rendering engine in Python. This engine works with an abstract 'plotter' driver class, that can be subclassed for any rendering device needed.
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The aim of this project is to translate the geostatistical BMELib Matlab Toolbox (http://www.unc.edu/depts/case/BMELIB/) into Python.
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boost_graph tried to wrap the C++ Boost Graph library in Python, providing graph algorithms like Breadth First Search, DFS, Shortest Path, Topological sort. This project is dead (http://bayleshanks.com/pamv1)
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Pena is an acronym for "Pena Encryption for Automata". This framework will help you to run encrypted representations of programs.
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Latex editor with document structure tree view and project handling. Latex output allows direct jump to warnings/errors. Projects folders gives support for figures/graphs. Editor component includes usual features like search/replace and syntax highlight.
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RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
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Project VDW serves as a repository for all things pertaining to Van Der Waerden sequences. Volunteers to run the distributed client, mathematicians to help with theory, and anyone interested in VDW sequences are welcome!
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Zherlock has now changed name to SciCraft and no longer hosted on sourceforge. Visit our new site at http://www.scicraft.org
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This application is designed to solve problems of transshipment. This problem of the graph theory consists in finding a negative stream on the arcs which minimizes the total cost of the transport in a network R(V,E,b,c) where : - V = vertex - E
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Charlemagne is a versatile genetic programming application which includes a command-line client and an interactive console mode. It features built in input-output mapping support, and is user-extensible for complex fitness evaluation in Python and Lisp
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Package for general implementation of graphs in Python. Provides generic data structures, graph operators, and common algorithms.
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Geomatrix, collection of C/C++ libraries to be used for symbolic description of n-dimensional geometric models. Operates internally with a representation that constructs complex objects based on primitives, allowing loss-less modifcation of models.
