Search Results for "python libraries" - Page 54

Showing 4454 open source projects for "python libraries"

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  • 1
    GUIDOLib
    The GUIDOLib provides a powerful engine for the graphic rendering of music scores, based on the Guido Music Notation format. It supports Linux, Mac OS X, Windows, Android and iOS operating systems. A Java JNI interface is available as well as a Javascript version of the library. A Web API has also been designed, allowing to deploy the engine as a Web service.
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  • 2
    RecNN

    RecNN

    Reinforced Recommendation toolkit built around pytorch 1.7

    This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like.
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  • 3

    jpathpy

    Select items from JSON by using JPath syntax

    Package ``jpathpy`` is easy way for selecting items from objects, that can be iterate by keys or indices (such as dictionaries or lists). See full doc at <https://github.com/vowatchka/jpathpy>.
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  • 4
    TooDoo

    TooDoo

    Todo task manager with simple, fast and intuitive user interface

    Todo task manager with simple, fast and intuitive user interface. It supports subtasks, reminders, user defined statuses, categories and filters, custom ordering, text formatting, clickable links etc. Overview of functions: https://sourceforge.net/p/too-doo/wiki/
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    DisplayCAL

    DisplayCAL

    Display Calibration and Characterization powered by Argyll CMS

    DisplayCAL (formerly known as dispcalGUI) is a graphical user interface for the display calibration and profiling tools of Argyll CMS, an open source color management system. Calibrate and characterize your display devices using one of the many supported measurement instruments, with support for multi-display setups and a variety of available settings like customizable whitepoint, luminance, tone response curve as well as the option to create accurate look-up-table ICC profiles as well as...
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    Downloads: 2,546 This Week
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  • 6
    SMAC

    SMAC

    SMAC: The StarCraft Multi-Agent Challenge

    SMAC (StarCraft II Multi-Agent Challenge) is a benchmark environment for cooperative multi-agent reinforcement learning (MARL), based on real-time strategy (RTS) game scenarios in StarCraft II. It allows researchers to test algorithms where multiple units (agents) must collaborate to win battles against built-in game AI opponents. SMAC provides a controlled testbed for studying decentralized execution and centralized training paradigms in MARL.
    Downloads: 1 This Week
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  • 7
    attention

    attention

    Some attention implements

    attention is a small educational repository containing TensorFlow and Keras implementations of the attention mechanism described in Attention Is All You Need. It provides separate source files for framework-specific implementations rather than a larger training application. The project was created as a compact reference for understanding and experimenting with attention layers. Its documented test environment uses Python 2.7, TensorFlow 1.8 or later, and Keras 2.2.4. The repository is no...
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  • 8
    show-me-the-code

    show-me-the-code

    Python Workbook, a small program every day

    Show Me the Code is a Chinese-language programming exercise collection centered on completing one small practical challenge at a time. Although presented as a Python workbook, many of the exercises can be implemented in other programming languages. The challenges intentionally avoid routine textbook exercises and instead use tasks that resemble small real-world programming problems. Examples include image manipulation, coupon-code generation, database storage, text processing, and...
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  • 9
    Deep Learning Drizzle

    Deep Learning Drizzle

    Drench yourself in Deep Learning, Reinforcement Learning

    Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures! Optimization courses which form the foundation for ML, DL, RL. Computer Vision courses which are DL & ML heavy. Speech recognition courses which are DL heavy. Structured Courses on Geometric, Graph Neural Networks. Section on Autonomous Vehicles. Section on Computer Graphics with ML/DL focus.
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  • 10
    QMForge reads output from various quantum mechanical calculations and provides tools for analyzing these results. Specifically, population (Mulliken and C-squared), fragment, and charge decomposition analyses are available. See https://qmforge.net for more info.
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  • 11
    PyTorch Natural Language Processing

    PyTorch Natural Language Processing

    Basic Utilities for PyTorch Natural Language Processing (NLP)

    PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out...
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  • 12
    StarsAndClown

    StarsAndClown

    Github Star Gathering Treatment List

    StarsAndClown is a repository by the same maintainer that seems intended as a lighthearted “ranking / listing” project, possibly gathering interesting or amusing GitHub repositories, trending topics, or community “stars” — perhaps with a humorous or satirical twist given the name. The concept suggests a curated (or semi-automated) list of GitHub repos worth noting: whether because of popularity, novelty, or community interest — giving “people who eat grapes” (i.e. spectators) a way to enjoy...
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  • 13
    Texar

    Texar

    Toolkit for Machine Learning, Natural Language Processing

    Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. A mirror of this...
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  • 14
    tkcalendar

    tkcalendar

    Calendar widget for Tkinter

    tkcalendar is a python module that provides the Calendar and DateEntry widgets for Tkinter. The DateEntry widget is similar to a Combobox, but the drop-down is not a list but a Calendar to select a date. tkcalendar is compatible with both Python 2 and Python 3. It support all locale settings supported by the system and the colors are customizable.
    Downloads: 3 This Week
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  • 15
    12306 Ticket Buying Assistant

    12306 Ticket Buying Assistant

    12306 Smart ticket swiping, ticket booking

    12306 is an automation and ticket-purchasing tool designed to interact with China’s official railway booking system, providing users with a programmatic way to search, reserve, and purchase train tickets. The project replicates the workflow of the official platform while adding automation features that help users secure tickets in high-demand scenarios. It supports querying schedules, checking seat availability, and performing booking actions through scripts, which reduces the need for...
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  • 16
    BlackPack

    BlackPack

    Graphical RPM package builder

    BlackPack is a utility to aid in creating installable RedHat packages (.rpm). The goal behind the project is to make developing for RedHat based Linux distributions more appealing, with an easy to use interface for packaging applications, artwork, media, themes, etc.
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  • 17
    Deep-Learning-with-PyTorch-Tutorials

    Deep-Learning-with-PyTorch-Tutorials

    Deep Learning and PyTorch Introduction Video Tutorial with Source Code

    Deep-Learning-with-PyTorch-Tutorials is a companion repository for an introductory deep learning course built around PyTorch. It provides source code, notebooks, and presentation materials for a practical video-based learning path. The lessons begin with PyTorch setup, tensors, indexing, mathematical operations, gradients, and basic optimization. They then move into neural networks, logistic regression, multilayer perceptrons, CNNs, ResNet, RNNs, LSTMs, autoencoders, VAEs, GANs, graph...
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  • 18
    Machine Learning From Scratch

    Machine Learning From Scratch

    Bare bones NumPy implementations of machine learning models

    ...Because the code avoids external machine learning libraries, it exposes the full logic behind model training, optimization, and prediction processes. The project also provides examples and explanations that illustrate how the algorithms behave and how different components interact during training.
    Downloads: 3 This Week
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  • 19
    remindMe

    remindMe

    A sticky notes alternative with user customizations, popups, more...

    remindME is a simple and free alternative to sticky notes that can store multiple notes on a single window or can be detached to separate notes popup. It also supports a lot of user customizations like background color, font color, font family, style, size. It also supports features of stay-on-top and export options.
    Downloads: 1 This Week
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  • 20

    pyPIDTuneMethods

    PID controller design and tuning

    pyPIDTuneMethods is a free python-based tool for PID controller design and tuning. pyPIDTuneMethods is based on scipy (numpy, scipy) <http://www.scipy.org/ >, guiqwt <http://code.google.com/p/guiqwt/ >, python control <http://python-control.org/> and pyQt5 <http://www.riverbankcomputing.co.uk >. If you are not familiar with python you can use winpython <http://winpython.sourceforge.net/>. You can also download it from pypi <https://pypi.org/project/pyPIDTuneMethods/>. You may also...
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  • 21
    Deep Learning with PyTorch

    Deep Learning with PyTorch

    Latest techniques in deep learning and representation learning

    This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition. The prerequisites include DS-GA 1001 Intro to Data Science or a graduate-level machine learning course. To be able to follow the exercises, you are going to need a laptop with Miniconda (a...
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  • 22

    pyindi-client

    Python binding to the libindi library

    This project offers a python binding to the libindi library. It uses the Simplified Wrapper and Interface Generator (SWIG). You may generate a PyIndi module which mainly defines an IndiClient class. This class could be used to build python scripts able to interact with indi servers using sendNew* methods and implementing new* methods of the BaseMediator class. PyQt applications may also be built on top of IndiClient, thus allowing rapid development of GUI Indi clients. Besides Python there...
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  • 23

    Optimized Storage for temporal Data

    open Optimized Storage of time series data

    Beta version. Base class for optimized storage of time series data. Uses any kind of relational database. Cross plateform with multiple languages (C++, C#, Java). Conditional storage based on value variation : DeltaValue and DeltaTime params. Get back data without losts.
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  • 24
    transformer

    transformer

    A TensorFlow Implementation of the Transformer

    Transformer is a TensorFlow implementation of the architecture introduced in the Attention Is All You Need paper. It was created as a readable and relatively modular reference for understanding and experimenting with Transformer-based machine translation. The updated implementation corrects issues involving masking, positional encoding, and other parts of the original code. It adds components such as byte-pair encoding and shared weight matrices. Training and evaluation are demonstrated with...
    Downloads: 2 This Week
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  • 25
    yapydata

    yapydata

    Lower-Layer unified data - JSON, XML, YAML + INI, CFG, properties

    The yapydata - Yet Another Python Data - provides a unified interface for the access to various data syntaxes. Therefore it encapsulates the libraries by offering a common API with the canonical internal data as JSON compatible Python in-memory structure. The application is foreseen in particular for the lower layer of the software stack including setup-tools.
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