Search Results for "python windows" - Page 61
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Showing 2907 open source projects for "python windows"
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Aglyph
Aglyph is a Dependency Injection framework for Python.
Aglyph is a Dependency Injection framework for Python, supporting type 2 (setter) and type 3 (constructor) injection. Aglyph runs on CPython (http://www.python.org/) 2.7 and 3.4+, and on recent versions of the PyPy (http://pypy.org/>),Jython (http://www.jython.org/), IronPython (http://ironpython.net/), and Stackless Python (http://www.stackless.com/) variants. Aglyph can assemble "prototype" components (a new instance is created every time), "singleton" components (the same instance... -
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Various tools for automating some trading operations on the most popular cryptocurrency exchanges.
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Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
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easyquotation
Get free stock quotes in real time, supporting Sina
easyquotation is a lightweight Python library for retrieving Chinese stock-market data from free public quotation sources. It supports market feeds from Sina and Tencent as well as selected data from Jisilu. Developers can request complete market snapshots or query specific Shanghai, Shenzhen, Beijing, and Hong Kong securities. Returned records include prices, bid and ask data, volume, turnover, highs, lows, and other trading fields when available. The library also includes Tencent Hong Kong... -
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AlfredWorkflow.com
A public Collection of Alfred Workflows
AlfredWorkflow.com is a public collection of workflows created for Alfred 2 on macOS. It was designed to help users search, install, share, and discover automations without building each workflow from scratch. The repository contains hundreds of downloadable workflows alongside source code that developers can study. A Workflow Searcher lets users query the collection directly from Alfred. The project also exposes workflow metadata through a JSON API for programmatic access. GitHub-hosted... -
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TensorFlow-ZH
Chinese version of the official document of TensorFlow
The tensorflow-zh repository is a Chinese translation of the official TensorFlow documentation, organized to make the core guides, tutorials, and reference material accessible to Chinese speakers. It was initiated shortly after TensorFlow’s open-sourcing, with translation and proofreading contributions from a community of volunteers who aimed to bridge the language barrier for learners in China and other Mandarin communities. The repo mirrors the structure of the original English docs:... -
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Zhao
A compilation of "The Princely Party Relationship Network"
zhao is a repository that consolidates research, data, and insights related to Zhao, which is likely an individual’s research collection, notes, or curated resources on deep learning, AI, or computational topics (name and content context suggest specialized study). The project may include code examples, experiment results, references to academic papers, mathematical notes, and supporting scripts to explore specific ML methods, benchmarks, or theoretical findings. Because it aggregates... -
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Madara
Middleware for distributed applications
The purpose of the project is to develop a portable programming framework that facilitates distributed and multi-threaded programming for C++, Java, and Python. MADARA was originally developed as an agent-based middleware specifically for real-time, distributed artificial intelligence, but is now more general purpose for distributed timing, control, knowledge and reasoning, and quality-of-service. MADARA is composed of several tools and middleware, and the main entry point into the system... -
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pyhanlp
Chinese participle
pyhanlp is a Python interface for HanLP (Han Language Processing) that lets you use a mature Java-based NLP toolkit from Python workflows without rebuilding the underlying algorithms. It is commonly used for Chinese-language NLP tasks where you want production-grade tokenization and linguistic analysis, but still want the convenience of Python scripting. The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into... -
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Assorted projects. General-purpose libraries for Python, C++, Scala, bash, and others. Meta-programming tools. System utilities. UI components. Web APIs. Configuration files. Benchmarks. Programming competition entries. And much more.
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GDL - GNU Data Language, a free IDL (Interactive Data Language, see http://ittvis.com/idl/) compatible incremental compiler.
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vimpyter
Edit your Jupyter notebooks in Vim/Neovim
Input/output cells are displayed using a custom syntax file and folding. See your edits by starting Jupyter Notebook/Nteract application with a single command/mapping (just remember to save your modifications). You may have to reload the browser page/app to see the effects. -
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iSCSIsim is a powerful generic test tool for iSCSI targets. Its capabilities include SCSI command injection, error insertion, and recovery testing: all with built-in validation of test results.
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SpoofMAC
Change your MAC address for debugging
SpoofMAC is a command-line utility for changing and restoring MAC addresses on network interfaces in Linux and macOS systems. The project allows users to randomize or manually configure MAC addresses to improve privacy, testing flexibility, or network anonymity in various environments. It automates low-level networking commands and provides a user-friendly interface for managing interface states and address changes safely. SpoofMAC is commonly used for privacy protection on public networks,... -
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TextTeaser
TextTeaser is an automatic summarization algorithm
textteaser is an automatic text summarization algorithm implemented in Python. It extracts the most important sentences from an article to generate concise summaries that retain the core meaning of the original text. The algorithm uses features such as sentence length, keyword frequency, and position within the document to determine which sentences are most relevant. By combining these features with a simple scoring mechanism, it produces summaries that are both readable and informative.... -
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Pyrlang
Erlang node implemented in Python 3.5+ (Asyncio-based)
This is a drop-in Erlang node implementation in Python 3, implementing a network Erlang node protocol. It was designed to allow interoperation between existing Python projects and BEAM languages: Erlang, Elixir, Gleam, Luaerl, LFE, Clojerl, and such. With just a few lines of startup code your Python program becomes an Erlang network node, participating in the Erlang cluster. -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
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pivottablejs
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook
PivotTable.js is a Javascript Pivot Table and Pivot Chart library with drag-drop interactivity, and it can now be used with Jupyter/IPython Notebook via the pivottablejs module. I first built PivotTable.js with a plan to build an in-browser data analysis tool, and got as far as one where you could load up a CSV file in the browser for display. Since then, however, the Jupyter project has gathered steam and now provides a browser-based interface to some of the most powerful data processing... -
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Database mapping layer for MongoDB on Python. Includes schema enforcement and some facilities for schema migration.
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Edward
A probabilistic programming language in TensorFlow
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It... -
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Jmr - Java Code Generator
"black technology" will improve development productivity by 1.5 to 5
More than just an entirely free Java code generator, It's also a development automation tool(Much more than a normal code generator). Maybe it can become your "black technology" will improve development productivity by 1.5 to 5 times, Zero coupling to your project and without changing anything. Normal code generator flow: Template → Source Code Jmr development automation flow: Template/Model/Action → Task → Source Code/Test Case/Document Template: Support Java... -
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transitfeed
Tools for reading, validating & writing transit schedule info in GTFS
transitfeed helps to make public transit information projects more successful for agencies and other interested parties. It provides a library to help you parse, validate, and generate General Transit Feed Spec (GTFS) feed files. It contains several parts, including TransitFeed (Python package for reading, writing, and validating feeds); Feedvalidator (command line tool that checks a GTFS feed for problems); ScheduleViewer (application for exploring a feed on a map) and more; each with their... -
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txObject ATK is an OS independent C++ & Python object library. Built in the 90s, it provides a 5-layer framework: Object Library, IO / Timers, Threads, Inter-Process / Distributed Object Communication
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Image classification models for Keras
Keras code and weights files for popular deep learning models
All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at ~/.keras/keras.json. For instance, if you have set image_dim_ordering=tf, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth". Pre-trained weights can be automatically loaded upon instantiation (weights='imagenet'... -
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cookiecutter-django-rest
Build best practiced apis fast with Python3
You need to make a scalable api on a deadline. You deeply care about the quality of your work. cookiecutter-django-rest takes care of the details so you can focus on making your api awesome. Scaffolding a project takes seconds and it gives you authentication, user accounts, and the docs and tests to support them. Just add your own resources to the api and start shipping. Start off with full test coverage, continuous integration, and continuous deployment. Complete Django Rest Framework...
