Search Results for "python::module" - Page 82

7379 projects for "python::module" with 1 filter applied:

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  • 1
    CFD Python

    CFD Python

    Sequence of Jupyter notebooks featuring the 12 Steps to Navier-Stokes

    CFD Python, a.k.a. the 12 steps to Navier-Stokes, is a practical module for learning the foundations of Computational Fluid Dynamics (CFD) by coding solutions to the basic partial differential equations that describe the physics of fluid flow. The module was part of a course taught by Prof. Lorena Barba between 2009 and 2013 in the Mechanical Engineering department at Boston University (Prof.
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  • 2
    Tacotron-2

    Tacotron-2

    DeepMind's Tacotron-2 Tensorflow implementation

    Tacotron-2 is a TensorFlow implementation of DeepMind’s Tacotron-2 end-to-end text-to-speech architecture, which predicts mel spectrograms from raw text and then feeds them to a neural vocoder such as WaveNet. It reproduces the original paper’s hyperparameters exactly via paper_hparams.py, while also offering a tuned hparams.py with extra improvements that often yield better audio quality in practice. The repository is structured as a full training pipeline: dataset preparation,...
    Downloads: 1 This Week
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  • 3
    passport-facebook

    passport-facebook

    Facebook authentication strategy for Passport and Node.js.

    ...When used with Express and Passport, the strategy triggers redirects and callback handling automatically based on configured routes, so developers can focus on application logic like user onboarding and account linkage. The module normalizes the returned user profile into a consistent format so you can store or use profile data with minimal translation. It also handles secure token exchange and sanitization of inputs to protect against common OAuth attacks.
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  • 4
    DetectAndTrack

    DetectAndTrack

    The implementation of an algorithm presented in the CVPR18 paper

    DetectAndTrack is the reference implementation for the CVPR 2018 paper “Detect-and-Track: Efficient Pose Estimation in Videos,” focusing on human keypoint detection and tracking across video frames. The system combines per-frame pose detection with a tracking mechanism to maintain identities over time, enabling efficient multi-person pose estimation in video. Code and instructions are organized to replicate paper results and to serve as a starting point for researchers working on pose in...
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  • 5
    PYWAL

    PYWAL

    Generate and change color-schemes on the fly

    PYWAL is a highly popular tool that automatically generates a color scheme from any image (usually your wallpaper) and then applies it across your Linux or Unix desktop. It analyzes the input image, extracts a palette, and builds theme files for terminals, window managers, and various desktop applications so everything looks coordinated. The magic is that it’s not just a one-off script: it supports many terminals, shells, and launchers, and can export the colors in multiple formats (JSON,...
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  • 6

    Autologging

    Easier logging and tracing of Python functions and class methods.

    ...Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported
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  • 7
    Video Nonlocal Net

    Video Nonlocal Net

    Non-local Neural Networks for Video Classification

    video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo...
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  • 8
    Game Programmer

    Game Programmer

    A Study Path for Game Programmer

    Game Programmer is Milo Yip’s study path for people who want to become stronger game programmers. Rather than being a software library, it is a structured learning roadmap built around books and knowledge areas. The path covers computer science, programming languages, software development, mathematics, game programming, game engine development, computer graphics, audio, physics, animation, AI, and multiplayer networking. It helps learners understand the breadth of skills involved in serious...
    Downloads: 2 This Week
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  • 9
    angularjs-style-guide

    angularjs-style-guide

    Community-driven set of best practices for AngularJS application

    angularjs-style-guide is a community-driven style guide providing a comprehensive set of best practices, conventions, and architectural recommendations for developing applications with the AngularJS framework. It codifies directory structure, naming conventions, module organization, controllers, directives, services, templates, routing, testing, and other AngularJS-specific patterns — offering a consistent baseline for teams working on medium- to large-scale AngularJS apps. By prescribing such conventions, the guide helps improve code readability, maintainability, testability, and project scalability, reducing “spaghetti code” or inconsistent patterns across contributors. ...
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  • 10
    SAVAGE (Scriptible And Versatile Adventure Game Engine) is a 2D adventure game engine coded in Python by the AmberfishArts team.
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  • 11
    PySys is a Python based framework for the organisation and execution of system level automated and manual testcases. PROJECT MOVED: As of April 2019, PySys has moved to GitHub and is no longer maintained on SourceForge, so for the development project go to https://github.com/pysys-test/pysys-test or for end-users of PySys go to https://pypi.org/project/PySys/
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  • 12
    WiFi-Pumpkin

    WiFi-Pumpkin

    WiFi-Pumpkin - Framework for Rogue Wi-Fi Access Point Attack

    The WiFi-Pumpkin is a rogue AP framework to easily create these fake networks, all while forwarding legitimate traffic to and from the unsuspecting target. It comes stuffed with features, including rogue Wi-Fi access points, deauth attacks on client APs, a probe request and credentials monitor, transparent proxy, Windows update attack, phishing manager, ARP Poisoning, DNS Spoofing, Pumpkin-Proxy, and image capture on the fly. moreover, the WiFi-Pumpkin is a very complete framework for...
    Downloads: 4 This Week
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  • 13
    lua_alt_getopt is a module for Lua programming language for parsing command line arguments. Goals: compatibility to POSIX "Utility Syntax Guidelines" (guidelines 3-13), GNU getopt_long(3) extentions.
    Downloads: 2 This Week
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  • 14
    Downloads: 1 This Week
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  • 15
    REST Layer

    REST Layer

    REST Layer, Go (golang) REST API framework

    REST Layer is a Go framework for building customizable REST APIs on top of pluggable storage backends. It is inspired by Python Eve and aims to reduce repetitive API boilerplate while still allowing developers to model business-specific resources. The framework focuses on schema-driven resources, validation, filtering, hooks, and storage abstraction. It is useful for teams that want to expose structured data through a REST interface without hand-writing every endpoint from scratch. ...
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  • 16
    Catalyst

    Catalyst

    An Algorithmic Trading Library for Crypto-Assets in Python

    Catalyst is an algorithmic trading library for crypto-assets written in Python, originally developed to let quants and developers design, backtest, and deploy trading strategies in a unified environment. It builds on top of Zipline, extending that ecosystem to support crypto exchanges and high-resolution historical data (daily and minute bars). Users can express strategies in Python, run backtests against historical price data, and analyze performance through built-in metrics and analytics to evaluate profitability, risk, and behavior under different market conditions. ...
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  • 17
    ECS:Python

    ECS:Python

    Light-weight C++ library for embedding Python into C++

    ECS:Python (Embedded C++ Scripting with Python) is a simple Python wrapper library designed specifically for C++ developers who wish to add Python scripting to their new / existing C++ projects. ECS:Python allows you to expose objects from a C++ application to an embedded Python interpreter for interactive scripting. ECS:Python is light-weight and easy to use. To get started all you need to do from your project is #include "EcsPython.h", and link to the EcsPython library. ...
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  • 18
    InfoGAN

    InfoGAN

    Code for reproducing key results in the paper

    The InfoGAN repository contains the original implementation used to reproduce the results in the paper “InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets”. InfoGAN is a variant of the GAN (Generative Adversarial Network) architecture that aims to learn disentangled and interpretable latent representations by maximizing the mutual information between a subset of the latent codes and the generated outputs. That extra incentive encourages the...
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  • 19
    e-Species

    e-Species

    A taxonomically intelligent biodiversity search engine

    This is a pure Python CGI-based implementation of a taxonomically intelligent species search engine. It searches biological databases for a taxonomic name. The search is done "on the fly" using web services (SOAP/XML) or URL API's.
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  • 20
    LUMINOTH

    LUMINOTH

    Deep Learning toolkit for Computer Vision

    LUMINOTH is an open-source deep learning toolkit designed for computer vision tasks, particularly object detection. The framework is implemented in Python and built on top of TensorFlow and the Sonnet neural network library, providing a modular environment for training and deploying detection models. It was created to simplify the process of building and experimenting with deep learning models capable of identifying objects within images. Luminoth includes support for popular object detection architectures such as Faster R-CNN and SSD, enabling developers to train models on datasets like COCO and Pascal VOC. ...
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  • 21
    Diffuse
    Diffuse is a graphical tool for comparing and merging text files. It can retrieve files for comparison from Bazaar, CVS, Darcs, Git, Mercurial, Monotone, RCS, Subversion, and SVK repositories.
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    Downloads: 127 This Week
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  • 22
    WIP

    WIP

    Create Siri Shortcuts with Python

    python-shortcuts is a library to create Siri Shortcuts on your laptop with your favorite text editor. It uses toml to represent shortcuts. The library is in a very early development state (PR welcome!), so it does not support all actions from the Shortcuts app.
    Downloads: 0 This Week
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  • 23
    Bots open source edi translator

    Bots open source edi translator

    Bots is a complete translator for edi: edifact, x12, xml, tradacoms

    Bots is a complete translator for edi (Electronic Data Interchange). EDI data formats eg: edifact, x12, tradacoms, xml. Mail: http://groups.google.com/group/botsmail Web-site: http://bots.sourceforge.net Wiki: http://bots.readthedocs.io Develop: https://github.com/eppye-bots/bots
    Downloads: 21 This Week
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  • 24
    BossSensor

    BossSensor

    Hide screen when boss is approaching

    ...When the system detects that the trained face appears in the camera view, the program automatically triggers actions such as hiding the user’s screen or switching to a safe display. The software relies on libraries such as OpenCV, TensorFlow, and Python-based machine learning tools to perform face detection and classification. Training the system requires a dataset of labeled images representing the boss and other people so that the model can learn to differentiate between them.
    Downloads: 0 This Week
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  • 25
    Dynamic Routing Between Capsules

    Dynamic Routing Between Capsules

    A PyTorch implementation of the NIPS 2017 paper

    Dynamic Routing Between Capsules is a PyTorch implementation of the Capsule Network architecture originally proposed to address limitations in traditional convolutional neural networks. Capsule networks aim to improve how neural models represent spatial hierarchies and relationships between objects within images. Instead of scalar neuron activations, capsules output vectors that encode both the presence of features and their spatial properties such as orientation or pose. The repository...
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