Showing 6 open source projects for "tutorials"

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  • 1
    Astropy

    Astropy

    Repository for the Astropy core package

    ...Astropy is a Python library for use in astronomy. Learn Astropy provides a portal to all of the Astropy educational material through a single dynamically searchable web page. It allows you to filter tutorials by keywords, search for filters, and make search queries in tutorials and documentation simultaneously. The Anaconda Python Distribution includes Astropy and is the recommended way to install both Python and the Astropy package. The astropy package contains key functionality and common tools needed for performing astronomy and astrophysics with Python. ...
    Downloads: 7 This Week
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  • 2
    AIQuant

    AIQuant

    AI-powered platform for quantitative trading

    ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models,...
    Downloads: 3 This Week
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  • 3
    NeuralProphet

    NeuralProphet

    A simple forecasting package

    ...It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in doubt. We are working on an improved documentation. We appreciate any help to improve and update the docs. Lagged regressors (measured features, e.g temperature sensor). ...
    Downloads: 0 This Week
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  • 4
    AI learning

    AI learning

    AiLearning, data analysis plus machine learning practice

    We actively respond to the Research Open Source Initiative (DOCX) . Open source today is not just open source, but datasets, models, tutorials, and experimental records. We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community, we-media, and online earning community, with a QQ group of more than 10,000 people and at least 10,000 subscribers. ...
    Downloads: 0 This Week
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  • 5

    X-SOCS

    X-ray Strain Orientation Calculation Software

    ...Naudet, T. Vincent, M.I. Richard, G. Chahine), follow the instruction in the following link: https://gitlab.esrf.fr/kmap/xsocs You can find on youtube video tutorials explaining the main steps to follow for a standard KMAP data analysis. In the folder XSOCS_tutorials_data of the Files tab, you can download the dataset used in the tutorials. Make sure to read the readme file.
    Downloads: 3 This Week
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  • 6

    openLilyLib

    Resources for LilyPond and LaTeX users writing (about) music

    openLilyLib is a family of resources for authors writing (about) music with the LilyPond (www.lilypond.org) notation software and for writing about music with LaTeX (http://www.latex-project.org/). The family members are: OLLib (a LilyPond extension library) ------------------------------------- Tutorials (a set of documents focusing on LilyPond) ------------------------------------- lilyglyphs (a package to use LilyPond's notational elements within (Xe-)LaTeX documents) ------------------------------------- musicexamples (a LaTeX package to manage music examples) For a slightly more detailed overview see the Wiki page, for more information visit our project website.
    Downloads: 0 This Week
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