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    Browsing by Subject Computer programming

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    • TVS.006011_TT_Hands-On Generative AI with Transformers and Diffusion Models.pdf.jpg
    • Sách/Book

    • Hands-On Generative AI with Transformers and Diffusion Models

      • Authors: Cuenca, Pedro (2023)

    • This book introduces theoretical concepts in an intuitive way, with extensive code samples and illustrations that you can run on services such as Google Colaboratory, Kaggle, or Hugging Face Spaces with minimal setup. You'll learn how to use open source libraries such as Transformers and Diffusers, conduct code exploration, and study several existing projects to help guide your work.
    • TVS.006012_TT_Max Pumperla, Edward Oakes, Richard Liaw - Learning Ray_ Flexible Distributed Python for Machine Learning-O_Reilly Media (2023).pdf.jpg
    • Sách/Book

    • Learning Ray : flexible distributed Python for machine learning

      • Authors: Pumperla, Max (2023)

    • Get started with Ray, the open source distributed computer framework that simplifies the process of scaling comute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin with compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.
    • TVS.006027_TT_Chris Zimmerman - The Rules of Programming_ How to Write Better Code-O_Reilly Media (2023).pdf.jpg
    • Sách/Book

    • The rules of programming : how to write better code

      • Authors: Zimmerman, Chris (2023)

    • This philosophy-of-programming guide presents a unique and entertaining take on how to think about programming. A collection of 21 pragmatic rules, each presented in a standalone chapter, captures the essential wisdom that every freshly minted programmer needs to know and provides thought-provoking insights for more seasoned programmers"--