Showing 571 open source projects for "python linux"

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  • 1
    PyQtRPT

    PyQtRPT

    Pyside QtRPT

    Pyside QtRPT Python Binding for QtRPT (PySide Shiboken) QtRPT Report Engine Python Report License LGPL3 compatible with QtRPT (see license) """QtRPT is the easy-to-use print report engine written in C++ QtToolkit. It allows combining several reports in one XML file. For separately taken field, you can specify some condition depending on which this field will display in different font and background color, etc. The project consists of two parts: report library QtRPT and...
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  • 2
    Climate Modeling Courseware

    Climate Modeling Courseware

    Interactive lecture notes and assignments in Jupyter notebook format

    A collection of interactive lecture notes and assignments for a graduate-level climate modeling course. ATM 623 Climate Modeling is an advanced graduate course on climate dynamics and climate modeling. The focus of the course is on the hands-on use of both simple and complex climate models to build an understanding of the processes that control the planetary energy budget. The course makes extensive use of Python code and the Jupyter notebook for reproducible, self-describing calculations...
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  • 3
    pyCraft

    pyCraft

    Minecraft-client networking library in Python

    Minecraft Python Client Library. This project aims to be a modern, Python3-compatible, well-documented library for communication with a Minecraft server. Although pyCraft is compatible any supported server, only a subset of all packets are currently decoded or encoded by the library: those necessary to remain connected to the server, those used for chat, and some others.
    Downloads: 2 This Week
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  • 4

    pytkapp

    Python package for develop an SDI/MDI application and set of widgets.

    =========== pytkapp =========== Python package for develop an application that provide multi-documents/single-document interface with using of tkinter library and set of additional tkinter widgets. See available demos: pytkapp/demo/run_ptaoptionsdemo.py - run GUI demo for option's container (available widgets, rules) pytkapp/demo/run_ptamdidemo.py - run demo of MDI application pytkapp/demo/run_ptasdidemo.py - run demo of SDI application pytkapp/demo/run_tkwbasicdemo.py...
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  • 5
    AeroPython

    AeroPython

    Classical Aerodynamics of potential flow using Python

    The AeroPython series of lessons is the core of a university course (Aerodynamics-Hydrodynamics, MAE-6226) by Prof. Lorena A. Barba at the George Washington University. The first version ran in Spring 2014 and these Jupyter Notebooks were prepared for that class, with assistance from Barba-group PhD student Olivier Mesnard. In Spring 2015, we revised and extended the collection, adding student assignments to strengthen the learning experience. The course is also supported by an open learning...
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  • 6
    Tensor Algebra Compiler

    Tensor Algebra Compiler

    The Tensor Algebra Compiler (taco) computes sparse tensor expressions

    A fast and versatile compiler-based library for sparse linear and tensor algebra. TACO can be used to implement sparse linear and tensor algebra applications in a wide range of domains. TACO supports a wide range of sparse (and dense) linear/tensor algebra computations, from simpler ones like sparse matrix-vector multiplication to more complex ones like MTTKRP on higher-order sparse tensors. Tensors can be stored in a variety of storage formats, including commonly-used sparse matrix and...
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  • 7
    Django REST Pandas

    Django REST Pandas

    Serves up Pandas dataframes via the Django REST Framework

    Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This...
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  • 8
    tkColorPicker

    tkColorPicker

    Color picker dialog for Tkinter, alternative to tkinter.colorchooser

    The tkcolorpicker module contains a `ColorPicker` class which implements the color picker dialog and an `askcolor` function that displays the color picker and returns the chosen color in RGB and HTML formats.
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  • 9
    tkFileBrowser

    tkFileBrowser

    File browser for Tkinter

    tkFileBrowser is an alternative to tkinter.filedialog that allows the user to select files or directories. The GUI is written with tkinter but the look is closer to GTK and the application uses GTK bookmarks (the one displayed in nautilus or thunar for instance). This filebrowser supports new directory creation and filtype filtering.
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  • 10
    data-science-ipython-notebooks

    data-science-ipython-notebooks

    Data science Python notebooks: Deep learning

    Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. Advanced sections touch on neural networks and...
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  • 11
    MITIE

    MITIE

    MITIE: library and tools for information extraction

    This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors. MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector...
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  • 12
    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. Barba since moved to George Washington University). The module assumes only basic programming...
    Downloads: 1 This Week
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  • 13
    Maya

    Maya

    Datetimes for Humans

    Maya is a Python library that simplifies working with datetime objects. It provides a human-friendly API for parsing, formatting, and manipulating dates and times, addressing common frustrations with Python's built-in datetime module.​
    Downloads: 2 This Week
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  • 14
    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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  • 15

    Autologging

    Easier logging and tracing of Python functions and class methods.

    Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. 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,...
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  • 16
    Teach Me Quantum

    Teach Me Quantum

    Practical Course on Quantum Information Science and Quantum Computing

    A university-level course on Quantum Computing and Quantum Information Science that incorporates IBM Q Experience and Qiskit. This course is adequate for general audiences without prior knowledge on Quantum Mechanics and Quantum Computing (see prior knowledge), has an estimated average duration of 10 weeks at 3h/week (see duration), and is meant to be the entrypoint into the Quantum World.
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  • 17
    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.
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  • 18
    Functional, Data Science Intro To Python

    Functional, Data Science Intro To Python

    [tutorial]A functional, Data Science focused introduction to Python

    The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing.
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  • 19
    SFD

    SFD

    S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017

    S³FD (Single Shot Scale-invariant Face Detector) is a real-time face detection framework designed to handle faces of various sizes with high accuracy using a single deep neural network. Developed by Shifeng Zhang, S³FD introduces a scale-compensation anchor matching strategy and enhanced detection architecture that makes it especially effective for detecting small faces—a long-standing challenge in face detection research. The project builds upon the SSD framework in Caffe, with...
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  • 20
    Skater

    Skater

    Python library for model interpretation/explanations

    Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual...
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  • 21
    Ponder

    Ponder

    C++ reflection library with Lua binding, and JSON and XML

    Ponder is a C++ library that provides runtime reflection for types. It provides an abstraction for most of the high-level concepts of C++ like classes, enumerations, properties, functions, and objects. By wrapping all these concepts into abstract structures, Ponder provides an extra layer of flexibility to programs and allows them to expose and manipulate their data structures at runtime. Many applications can take advantage of Ponder, in order to automate tasks that would otherwise require...
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  • 22
    Python/xarray tutorial

    Python/xarray tutorial

    Python/xarray tutorial for GEOS-Chem users

    ...Please follow the official installation guide for installing on Linux/Mac/Windows. Linux/Mac also comes with a system Python (/usr/bin/python). Don't touch that. Windows users might find the full Anaconda (Conda plus tons of packages) with graphical interface easier to use than the command line.
    Downloads: 1 This Week
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  • 23
    Mixup-CIFAR10

    Mixup-CIFAR10

    mixup: Beyond Empirical Risk Minimization

    mixup-cifar10 is the official PyTorch implementation of “mixup: Beyond Empirical Risk Minimization” (Zhang et al., ICLR 2018), a foundational paper introducing mixup, a simple yet powerful data augmentation technique for training deep neural networks. The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more...
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  • 24
    Compare GAN

    Compare GAN

    Compare GAN code

    compare_gan is a research codebase that standardizes how Generative Adversarial Networks are trained and evaluated so results are comparable across papers and datasets. It offers reference implementations for popular GAN architectures and losses, plus a consistent training harness to remove confounding differences in optimization or preprocessing. The library’s evaluation suite includes widely used metrics and diagnostics that quantify sample quality, diversity, and mode coverage. With...
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  • 25
    tkFontChooser

    tkFontChooser

    Simple font chooser dialog for tkinter

    A simple font chooser for Tkinter that allow the user to select the font family among the fonts available on his/her system. The size and style (bold, italic, underline, strikethrough) of the text can be set too. This module contains a `FontChooser` class which implements the font chooser and an `askfont` function that displays the font chooser and returns the chosen font when the user closes the font chooser. The font is returned as a dictionary like the one returned by the...
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