Showing 6 open source projects for "code visualization"

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  • 1
    Scientific Visualization

    Scientific Visualization

    An open access book on scientific visualization using python

    The Scientific Visualization book is a freely available open-access textbook that introduces how to produce effective scientific visualizations using Python, focusing especially on leveraging the popular plotting library Matplotlib (and related tools). It goes beyond simple plotting tutorials and emphasizes design principles: how to choose colors, layout subplots, annotate graphs, and present data in a way that is both accurate and visually compelling. As such, it serves as a guide for...
    Downloads: 0 This Week
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  • 2
    Book1_Python-For-Beginners

    Book1_Python-For-Beginners

    The Iris Book: Addition, Subtraction, Multiplication, and Division

    ...The repository emphasizes clarity and gradual skill building, starting from fundamental syntax and moving toward practical programming patterns. It integrates visual aids and annotated code examples to help learners understand not just how Python works but why certain patterns are used. The material is structured to support self-paced learning, making it suitable for students, career switchers, and hobbyists. Because the book is part of a larger data science pathway, it also prepares readers for later work in visualization and machine learning. ...
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  • 3
    Catalyst

    Catalyst

    Accelerated deep learning R&D

    ...PyTorch 1.1+, and has been tested on Ubuntu 16.04/18.04/20.04, macOS 10.15, Windows 10 and Windows Subsystem for Linux. It's part of the PyTorch Ecosystem, as well as the Catalyst Ecosystem which includes Alchemy (experiments logging & visualization) and Reaction (convenient deep learning models serving).
    Downloads: 1 This Week
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  • 4
    Python Tutorials

    Python Tutorials

    Machine Learning Tutorials

    ...This includes foundational Python concepts, data processing with libraries like NumPy and pandas, threading and multiprocessing for concurrency, and practical use of libraries such as Matplotlib for data visualization. It also provides tutorials on machine learning frameworks and concepts, including TensorFlow, PyTorch, Keras, Scikit-Learn, and reinforcement learning techniques. Each section contains organized code and explanations designed to help learners understand the underlying mechanics of Python and common computational approaches.
    Downloads: 0 This Week
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  • 5
    Tensorflow 2017 Tutorials

    Tensorflow 2017 Tutorials

    Tensorflow tutorial from basic to hard

    ...Beyond the basics, the project includes examples of convolutional neural networks, recurrent networks, autoencoders, reinforcement learning, generative adversarial networks, and transfer learning workflows. By pairing code examples with conceptual explanations, the tutorials make abstract machine learning ideas accessible and encourage experimentation with TensorBoard visualization and distributed training.
    Downloads: 0 This Week
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  • 6
    Matplotlib tutorial

    Matplotlib tutorial

    Matplotlib tutorial for beginner

    ...Because it is code-first, users can copy, modify, and run the examples on their own datasets, encouraging experimentation and deepening understanding.
    Downloads: 0 This Week
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