Showing 8 open source projects for "google translator source code"

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  • 1
    Google Open Source Project Style Guide

    Google Open Source Project Style Guide

    Chinese version of Google open source project style guide

    Each larger open source project has its own style guide, a series of conventions on how to write code for the project (sometimes more arbitrary). When all the code maintains a consistent style, it is more important when understanding large code bases. easy. The meaning of "style" covers a wide range, from "variables use camelCase" to "never use global variables" to "never use exceptions".
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  • 2
    ThinkStats2

    ThinkStats2

    Text and supporting code for Think Stats, 2nd Edition

    ThinkStats2 is the code and text companion for the second edition of Think Stats, an introduction to statistics and data science for Python programmers. It teaches probability and statistical reasoning through short programs, experiments, and analysis of real datasets. The material emphasizes exploratory methods that help readers ask and answer practical questions with data. Case studies draw from public sources, including health-related datasets, to connect abstract concepts with realistic...
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  • 3
    data-science-on-gcp

    data-science-on-gcp

    Source code accompanying book: Data Science on the GCP

    The data-science-on-gcp repository is a comprehensive collection of code examples and end-to-end workflows that accompany the book Data Science on the Google Cloud Platform, designed to teach developers how to build scalable data science and machine learning systems using Google Cloud services. It provides structured, chapter-aligned implementations that guide users through the full lifecycle of a data science project, including data ingestion, storage, processing, analysis, model training,...
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  • 4
    Brain Tokyo Workshop

    Brain Tokyo Workshop

    Experiments and code from Google Brain’s Tokyo research workshop

    The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The...
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  • 5
    Learning to Learn in TensorFlow

    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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  • 6
    Automatically geocode pictures from your camera and a GPS track log. Following Google code closure the only official webpage is (doc, support, code) : https://github.com/notfrancois/GPicSync
    Downloads: 21 This Week
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  • 7
    FreeSpeak is a free (as in freedom, developed and released under the terms of GPL) frontend to online translator engines (such as Google, Yahoo, etc.). It is written in Python, it uses the GTK toolkit and some GNOME infrastructure features.
    Downloads: 0 This Week
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  • 8
    Learn vocabulary in any language. Create and edit your own set of flashcards. Filter them and shuffle them. Add hints and mnemonics. Fully configurable. This project has been moved to Google code, and it is now called Flashblack.
    Downloads: 0 This Week
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