Search Results for "python::module" - Page 23
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Showing 765 open source projects for "python::module"
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pyCGNS
A Python package for CGNS
pyCGNS is now on github: https://pycgns.github.io/index.html https://github.com/pyCGNS/pyCGNS -
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embed-js
A lightweight plugin to embed emojis, media, maps, tweets, code, etc.
...To use it, it's recommended you have a build system in place that can transpile ES6, and bundle modules. But at the same time, you get an already transpiled version to make your development easier. If you’re using npm package manager with a module bundler like Webpack or Browserify to consume CommonJS modules, you can use the default UMD build of the plugin by simply requiring it. The render() method renders the resulting string in the block. The .render() method also returns a promise. Optionally you can also pass a string which will be processed by the plugin. -
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cnn-benchmarks
Benchmarks for popular CNN models
The cnn-benchmarks project is a collection of benchmarking scripts designed to evaluate the performance of convolutional neural networks across different hardware and configurations. It provides standardized implementations of popular CNN architectures, enabling developers to measure training speed, memory usage, and computational efficiency. The project focuses on reproducibility, allowing consistent comparisons between models and environments. It is particularly useful for testing GPUs and... -
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A PostgreSQL Interface for Tcl
A Tcl interface to PostgreSQL databases, using PostgreSQL libpq
pgtclng (PostgreSQL Tcl Next-Generation) is a loadable Tcl module for accessing PostgreSQL databases. It was forked from pgtcl in Feb 2004, moved to pgfoundy.org in Aug 2006 and to Sourceforge.net in Mar 2011. Its API is a superset of the pure-Tcl companion project pgintcl. -
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Solid Python
A comprehensive gradient-free optimization framework written in Python
Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them. -
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Flasky
Companion code to my O'Reilly book "Flask Web Development"
Flasky is a comprehensive example web application built with the Flask microframework that demonstrates best practices for developing real-world Python web applications, covering everything from project structure and configuration to database models, authentication, and deployment. It serves as both a tutorial and sample codebase that walks developers through building a full-featured web application, including user registration and login, role-based permissions, user profiles, and content creation. ... -
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PyQtSerialPort
PySide QtSerialPort
PySide QtSerialPort Binding Shiboken LGPL3 QtSerialPort is officially part of Qt (http://www.qt.io). info link: http://wiki.qt.io/QtSerialPort -
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gevent
Coroutine-based concurrency library for Python
...API that re-uses concepts from the Python standard library (for examples there are events and queues). Cooperative DNS queries performed through a threadpool, dnspython, or c-ares. Monkey patching utility to get 3rd party modules to become cooperative. When monkey patching, it is recommended to do so as early as possible in the lifetime of the process. If possible, monkey patching should be the first lines executed. -
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TensorFlow World
Simple and ready-to-use tutorials for TensorFlow
This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? Deep Learning is in very high... -
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Python in neuroscience
Collection of tutorials about methods of computational neuroscience
"Python in neuroscience" is a collection of collaboratively edited tutorials on computational neuroscience methods using Python language. Each tutorial is presented as a literate programming tutorial mixing text, code, and figures. The tutorials offer an introduction to basic methods of computational neuroscience and scientific programming in Python. -
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Elements of Programming Interviews
Method stubs and test cases for Elements of Programming Interviews
This repository contains method stubs and tests of the problems from Elements Of Programming Interviews by Adnan Aziz, Tsung-Hsien Lee, and Amit Prakash. This book is also available in Python and C++. This repository contains solutions to problems from the book "Elements of Programming Interviews," focusing on interview preparation and algorithm practice. -
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That project aims at providing a clean API, and the corresponding C++ implementation, for the basis of Airline IT Business Object Model (BOM), ie, to be used by several other Open Source projects, such as RMOL, Air-Sched, Travel-CCM, OpenTREP, etc.
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JAsyncSocket
Java asynchronous socket library
Basic Java infrastructure for asynchronous socket service clients and servers. Inspired by asyncore Python module. See doc/TestServer.java for a server implementation example. See doc/TestClient.java for client implementation examples. -
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CIGI Compliance Tools
Tools for Testing IG CIGI Compliance
Tools for testing CIGI IG and host implementations against the CIGI standard. -
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egjs
Javascript components group that brings easiest way to build web apps
egjs is Javascript components group that brings easiest and fastest way to build a web application in your way. -
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EasyHTML
A python package for building DOM of the HTML documents
A python package that provides an easy access to elements of HTML and XHTML documents through the Document Object Model. -
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Swift AI
The Swift machine learning library
...We've created some example projects to demonstrate the usage of Swift AI. Each resides in their own repository and can be built with little or no configuration. Each module now contains its own documentation. We recommend that you read the docs carefully for detailed instructions on using the various components of Swift AI. The example projects are another great resource for seeing real-world usage of these tools. Swift AI currently depends on Apple's Accelerate framework for vector/matrix calculations and digital signal processing. -
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aeneas
Automagically synchronize audio and text (aka forced alignment)
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment). aeneas automatically generates a synchronization map between a list of text fragments and an audio file containing the narration of the text. In computer science this task is known as (automatically computing a) forced alignment. -
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Icon Font to PNG
Python script (and library) for exporting icons from icon fonts
Python script (and library) for easy and simple export of icons from web icon fonts (e.g. Font Awesome, Octicons) as PNG images. The best part is the provided shell script, but you can also use it’s functionality directly in your (probably awesome) Python project. There’s also font-awesome-to-png script for backward compatibility with the first iteration of the concept. -
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PyGObject for Windows
All-In-One PyGI/PyGObject for Windows Installer
Cross-platform python dynamic bindings of GObject-based libraries for Windows 32-bit and 64-bit. -
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General availability of IMC Technologies ( http://www.imc.com.gr ) Linked Data module for Liferay, a leading open source portal. For more details refer to project files or http://79.129.39.210:2020/IMCTriplificationChallenge2009/
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Projects-Solutions
Links to others' solutions to Projects
...The repository aggregates links and resources rather than necessarily hosting all code directly; it serves as an index. The README makes clear that the goal is to build a repository of implementations across languages, showing that the same problem can be solved in Python, Java, Go, JavaScript, C++, etc. For learners it is particularly useful to see how others structure their projects, how they implement algorithms in different languages, and how to cleanly organize a solution. -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction.... -
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THIS PROJECT HAS BEEN MOVED TO GITHUB
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React Toolbox
A set of React components implementing Google's Material Design
...React Toolbox uses CSS Modules by default to import stylesheets written using PostCSS & postcss-preset-env features. In case you want to import the components already bundled with CSS, your module bundler should be able to require these PostCSS modules. Of course this is a set of React components so you should be familiar with React. If want to customize your components via themes, you may want to take a look to react-css-themr, used by React Toolbox.
