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  2. pvlib python - Wikipedia

    en.wikipedia.org/wiki/Pvlib_python

    pvlib python's documentation is online and includes many theory topics, an intro tutorial, an example gallery, and an API reference. The software is broken down by the steps shown in the PVPMC modeling diagram. irradiance and weather retrieval and solar position calculation; irradiance decomposition and transposition to the plane of the array

  3. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  4. FastAPI - Wikipedia

    en.wikipedia.org/wiki/FastAPI

    FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+. [3] It uses Pydantic and type hints to validate, serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it. [4] It was first released in 2018.

  5. raylib - Wikipedia

    en.wikipedia.org/wiki/Raylib

    raylib consists of several modules that are exposed to the programmer through the API. core – Handles the window creation and OpenGL context initialization as well as inputs management (keyboard, mouse, gamepad and touch input) rlgl – Handles OpenGL backend, abstracting multiple versions to a common API. This module can be used standalone.

  6. spaCy - Wikipedia

    en.wikipedia.org/wiki/SpaCy

    spaCy (/ s p eɪ ˈ s iː / spay-SEE) is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython. [3] [4] The library is published under the MIT license and its main developers are Matthew Honnibal and Ines Montani, the founders of the software company Explosion.

  7. Torch (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Torch_(machine_learning)

    Modules have a forward() and backward() method that allow them to feedforward and backpropagate, respectively. Modules can be joined using module composites, like Sequential, Parallel and Concat to create complex task-tailored graphs. Simpler modules like Linear, Tanh and Max make up the basic component modules.

  8. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers ...

  9. ilastik - Wikipedia

    en.wikipedia.org/wiki/Ilastik

    ilastik project is hosted on GitHub. It is a collaborative project, any contributions such as comments, bug reports, bug fixes or code contributions are welcome. The ilastik team can be contacted for user support on the image.sc forum.