564 projects for "google-visualization-python" with 2 filters applied:

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  • 1
    The Neural Process Family

    The Neural Process Family

    This repository contains notebook implementations

    Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation.
    Downloads: 0 This Week
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  • 2
    API Correios

    API Correios

    API correios.com.br in Python

    pycorreios is a Python library aimed at interacting with Brazil’s postal service (Correios) APIs, making it easier for developers to track shipments, calculate postage, query service availability, and integrate with Brazilian e-commerce flows. The library abstracts the raw SOAP or REST endpoints exposed by Correios, providing Pythonic methods to perform common tasks like tracking a package by its code or computing shipping cost/lead time between postal codes.
    Downloads: 0 This Week
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  • 3
    javalang

    javalang

    Pure Python Java parser and tools

    javalang is a pure Python library for working with Java source code. javalang provides a lexer and parser targeting Java 8. The implementation is based on the Java language spec.
    Downloads: 0 This Week
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  • 4
    Pinject

    Pinject

    A pythonic dependency injection library

    Pinject is a lightweight dependency-injection library for Python that favors explicit wiring and testability over magic. Instead of global singletons, you declare providers (bindings) that describe how to construct objects, and Pinject resolves the graph by inspecting call signatures. Its container supports constructor injection and fine-grained scoping so you can share expensive resources while keeping tests isolated.
    Downloads: 0 This Week
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  • 5
    IfSharp

    IfSharp

    F# for Jupyter Notebooks

    F# for Jupyter Notebooks. This implements F# for Jupyter notebooks. View the Feature Notebook for some of the features that are included. There's a related project of .NET Interactive which was inspired by this one but a completely rethought approach with integrated package management, VS Code support, and variable sharing between languages. If you're moving to .NET Core support it's definitely worth checking out.
    Downloads: 9 This Week
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  • 6
    gditools

    gditools

    A Python program/library aimed at GD-ROM image files.

    ...To use this project you must install the Python 2.7.x branch release binaries. See the README.TXT file for more informations.
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    Downloads: 13 This Week
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  • 7
    Simplify.js

    Simplify.js

    High-performance JavaScript polyline simplification library

    Simplify.js is a compact high-performance JavaScript library for reducing the number of points in polylines while preserving their overall shape. It was extracted from Leaflet and is designed for geometry-heavy mapping and visualization workloads. The implementation first uses a fast radial-distance pass unless highest-quality mode is requested. It then applies the Ramer-Douglas-Peucker algorithm for more accurate simplification. A configurable tolerance controls how aggressively points are removed. The library works in browsers, workers, AMD environments, and Node.js with a very small codebase. ...
    Downloads: 9 This Week
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  • 8
    PixieDust

    PixieDust

    Python Helper library for Jupyter Notebooks

    PixieDust is an open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of working with data. It also fills a gap for users who have no access to configuration files when a notebook is hosted on the cloud.
    Downloads: 4 This Week
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  • 9
    SBML Layout: Graphical SBML Annotations
    The SBMLLayout Project provides libraries and tools for handling layout and render information of SBML Models. Supported are SBML Layout / Render Extension, CellDesigner annotations and JDesigner annotations.
    Downloads: 0 This Week
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  • 10
    XcodeCoverage

    XcodeCoverage

    Code coverage for Xcode projects (Objective-C only)

    XcodeCoverage is a tool that automates the generation of code coverage reports for iOS and macOS projects. It helps developers measure how much of their code is tested, facilitating better testing practices and coverage improvement.
    Downloads: 7 This Week
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  • 11
    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.
    Downloads: 0 This Week
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  • 12
    MultiProgressView

    MultiProgressView

    An animatable view that depicts multiple progresses over time

    MultiProgressView is an iOS UI component that provides an advanced progress visualization system capable of displaying multiple progress segments within a single view. Modeled after the native UIProgressView, it extends functionality by allowing developers to represent multiple concurrent progress values in a segmented format. The component is fully animatable, enabling smooth transitions when progress values change over time, which enhances the visual feedback for users.
    Downloads: 2 This Week
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  • 13

    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>.
    Downloads: 0 This Week
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  • 14
    attention

    attention

    Some attention implements

    ...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 longer maintained for newer TensorFlow or Keras releases. Users needing updated implementations are directed toward related layers in the author's bert4keras project. Its main value today is as a concise historical example of early Transformer-style attention code.
    Downloads: 0 This Week
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  • 15
    show-me-the-code

    show-me-the-code

    Python Workbook, a small program every day

    ...Some exercises connect multiple technologies, such as Python with MySQL, Redis, or external files. Reference implementations are available for selected challenges, but the emphasis remains on solving the problems independently. The collection is continuously organized as a practice resource for strengthening everyday programming skills.
    Downloads: 0 This Week
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  • 16
    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...
    Downloads: 0 This Week
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  • 17
    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...
    Downloads: 3 This Week
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  • 18
    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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  • 19
    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: 0 This Week
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  • 20
    TF Quant Finance

    TF Quant Finance

    High-performance TensorFlow library for quantitative finance

    TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The...
    Downloads: 0 This Week
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  • 21
    AES Everywhere

    AES Everywhere

    Cross Language AES 256 Encryption Library

    AES Everywhere is Cross Language Encryption Library that provides the ability to encrypt and decrypt data using a single algorithm in different programming languages and on different platforms. This is an implementation of the AES algorithm, specifically CBC mode, with 256-bit key length and PKCS7 padding. It implements OpenSSL-compatible cryptography with randomly generated salt.
    Downloads: 0 This Week
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  • 22
    nlp_chinese_corpus

    nlp_chinese_corpus

    Large Scale Chinese Corpus for NLP

    nlp_chinese_corpus is a large-scale Chinese corpus collection for natural language processing research and development. It was created to make high-volume Chinese text data easier to access for students, researchers, and practitioners. The repository gathers several major datasets, including Chinese Wikipedia entries, news articles, encyclopedia-style question answering data, community question answering data, and Chinese-English translation sentence pairs. Each dataset includes...
    Downloads: 0 This Week
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  • 23
    M3U8

    M3U8

    Parser and generator of M3U8-playlists for Apple HLS. Library for Go

    This is the most complete open-source library for parsing and generating of M3U8 playlists used in HTTP Live Streaming (Apple HLS) for internet video translations. M3U8 is a simple text format and parsing library for it must be simple too. It does not offer ways to play HLS or handle playlists over HTTP.
    Downloads: 7 This Week
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  • 24
    pytorch-examples

    pytorch-examples

    Simple examples to introduce PyTorch

    The pytorch-examples project is a collection of concise and practical examples demonstrating how to use PyTorch for machine learning and deep learning tasks. It focuses on clarity and minimalism, providing small, self-contained scripts that illustrate key concepts such as neural network training, optimization, and data handling. The examples cover a range of topics including supervised learning, generative models, and reinforcement learning, making it a valuable resource for both beginners...
    Downloads: 2 This Week
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  • 25
    Climate Modeling Courseware

    Climate Modeling Courseware

    Interactive lecture notes and assignments in Jupyter notebook format

    ...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 and figures. This repository contains a collection of linked Jupyter notebooks with lecture notes, examples and assignments. All notebooks are self-describing.
    Downloads: 0 This Week
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