Search Results for "mac framework" - Page 40
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Showing 1357 open source projects for "mac framework"
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Acoustic Research Tool (ART)
Acoustic Simulation Library for Frequency and Time Domain Simulations.
ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX... -
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A Complete Beginner's Guide to Django
A Complete Beginner's Guide to Django - Code Samples
Code samples from the Django tutorial series. I’m starting a new tutorial series about Django fundamentals. It’s a complete beginner’s guide to start learning Django. The material is divided into seven parts. We’re going to explore all the basic concepts in great detail, from installation, and preparation of the development environment, models, views, templates, URLs to more advanced topics such as migrations, testing, and deployment. I wanted to do something different. A tutorial that would... -
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Pootle Django
Online translation tool
Pootle is written in Python using the Django framework and therefore can be installed on any web server that supports serving WSGI applications. Key localization file formats are supported, including Gettext PO, XLIFF, Java .properties, PHP arrays and many more supported by the Translate Toolkit. Ensures the best quality localizations by automatically detecting common errors made by translators. Integrates user suggestions, terminology, Translation Memory, Machine Translation, and more. A... -
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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... -
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Deep Learning with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow. To date tensorflow comes in two different packages, namely tensorflow and tensorflow-gpu, whether you want to install the framework with CPU-only or GPU support, respectively. NVIDIA Drivers and CuDNN must be installed and configured before hand. Please refer to the official Tensorflow documentation for further details. Since version 0.9 Theano introduced the libgpuarray in the stable release (it was previously only available in... -
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REST framework JWT Auth
JSON Web Token Authentication support for Django REST Framework
JSON Web Token Authentication support for Django REST Framework. This package provides JSON Web Token Authentication support for Django REST framework. Unlike some more typical uses of JWTs, this module only generates authentication tokens that will verify the user who is requesting one of your DRF protected API resources. The actual request parameters themselves are not included in the JWT claims which means they are not signed and may be tampered with. You should only expose your API... -
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Needle
The iOS Security Testing Framework
Needle is an open-source, modular framework to streamline the process of conducting security assessments of iOS apps. Needle was originally made to work with iOS 9 and iOS 10. Since then, Frida was released and become the defacto tool to use with mobile security assessments. Some common Frida mobile security scripts were later implemented within Needle, as some of these scripts worked better or addressed some issues that were present in Needle's custom tooling. Assessing the security of an... -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). Using TensorFlow, it defines a... -
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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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SSL Logger
Decrypts and logs a process's SSL traffic
ssl_logger is a Python-based tool that decrypts and logs a target process’s SSL/TLS traffic on Linux and macOS. It attaches to a running process by name or PID and hooks SSL_read and SSL_write calls to capture plaintext data flowing through encrypted connections. Output can be streamed to the console with verbose metadata or written to a PCAP file for later analysis in standard tooling. The utility is powered by dynamic instrumentation using the Frida framework, allowing it to intercept... -
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Password Guessing Framework
A Framework for Comparing Password Guessing Strategies
The Password Guessing Framework is an open source tool to provide an automated and reliable way to compare password guessers. It can help to identify individual strengths and weaknesses of a guesser, its modes of operation or even the underlying guessing strategies. Therefor, it gathers information about how many passwords from an input file (password leak) have been cracked in relation to the amount of generated guesses. Subsequent to the guessing process an analysis of the cracked... -
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seq2seq
A general-purpose encoder-decoder framework for Tensorflow
seq2seq is an early, influential TensorFlow reference implementation for sequence-to-sequence learning with attention, covering tasks like neural machine translation, summarization, and dialogue. It packaged encoders, decoders, attention mechanisms, and beam search into a modular training and inference framework. The codebase showcased best practices for batching, bucketing by sequence length, and handling variable-length sequences efficiently on GPUs. Researchers used it as a baseline to... -
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Note: latest version can be found at https://github.com/targeted/pythomnic3k Pythomnic3k is a Python 3 framework for service-oriented middleware with hot reloading and fault tolerance. It is used for integrating various systems in enterprise network or writing standalone network services.
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MuPIF
Multi-Physics Integration Framework (MuPIF)
Multi-Physics Integration Framework (MuPIF) is an integration framework, that will facilitate the implementation of multi-physic and multi-level simulations, built from independently developed components. The principal role of the framework is to steer individual components (applications) and to provide high-level data-exchange services. Each application should implement an interface that allows to steer application and execute data requests. The design supports various coupling strategies,... -
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itchatmp
A complete and graceful API for wechat mp
itchatmp is an open-source Python API for developing WeChat Official Account and enterprise account integrations. It is designed to make WeChat massive platform development easier by providing a cleaner Python interface. The project is based on the Tornado framework, which helps it handle requests efficiently. It supports direct usage, nginx reverse proxy deployment, and WSGI deployment, giving developers several integration options. The API can be used in synchronous or coroutine-based... -
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll... -
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Karellen Gevent Websocket Library
Karellen Gevent Websocket Library
This is a Karellen fork of gevent-websocket. The goal of this fork is to maintain the project to support Python 3.3, 3.4 and 3.5+ as well as latest WS standards errata. -
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The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.
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HZDR
Scripts and programs (e. g. THz-Shaker) for work in HZDR
Scripts for evaluation and whole programs for measurements from work in Helmholtz-Zentrum Dresden Rossendorf (www.hzdr.de). One main project was the THz-Shaker (incl. THz-LiveCam and THz-Viewer) as complete new measurement framework. See Code (https://sourceforge.net/p/hzdr/code/) for files. A special thing is the wrapped CsAPI for GaGe CompuScope cards (e. g. Octopus) into Python: https://sourceforge.net/p/hzdr/code/HEAD/tree/thzshaker/device/scope/csapi.py An example of usage can... -
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SLEF
Subjective Logic Experimental Framework
Experiment developed for the paper Subjective Logic Operators in Trust Assessment: An Empirical Study by F. Cerutti, L. M. Kaplan, T. J. Norman, N. Oren, and A. Toniolo ISF Journal, 2014 -
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Taurus
A python based User Interface library.
The Taurus Project has *moved* to: https://github.com/taurus-org/taurus This SourceForge page is *outdated* and kept for historical reference only. Taurus is a python framework for control and data acquisition CLIs and GUIs in scientific/industrial environments. It supports multiple control systems or data sources: Tango, EPICS, ... New control system libraries and data sources can be integrated through plugins. -
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DAO
The Standard DAO Framework, including Whitepaper
An open‑source Solidity-based framework (“Standard DAO Framework”) to help deploy decentralized autonomous organizations (DAOs) on Ethereum by encoding governance and decision-making in smart contract code. -
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Pikzie is an Unit Testing Framework for Python. Pikzie provides more Pythonish API(*) and more usefull test result output rather than PyUnit (unittest.py). (*) PEP 8 -- Style Guide for Python Code: http://www.python.org/dev/peps/pep-0008/
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BayesRate
Bayesian estimation of diversification rates
BayesRate is a program to estimate speciation and extinction rates from dated phylogenies in a Bayesian framework. The methods are described in: Silvestro, D., Schnitzler, J. and Zizka, G. (2011) A Bayesian framework to estimate diversification rates and their variation through time and space. BMC Evolutionary Biology, 11, 311 Silvestro D., Zizka G. & Schulte K. (2014) Disentangling the effects of key innovations on the diversification of Bromelioideae (Bromeliaceae). Evolution, 68, 163-175. -
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Question Answering Corpus
Question answering dataset in "Teaching Machines to Read & Comprehend"
RC-Data is a dataset generation framework created by Google DeepMind to produce large-scale reading comprehension question-answer pairs from CNN and Daily Mail news articles. The dataset, introduced in the 2015 paper “Teaching Machines to Read and Comprehend” (Hermann et al., NIPS 2015), was among the first large corpora designed to train and evaluate machine reading and comprehension models. The repository provides scripts for downloading archived CNN and Daily Mail articles from the...
