Showing 10 open source projects for "pascal library unit"

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  • 1
    TensorFlow

    TensorFlow

    TensorFlow is an open source library for machine learning

    Originally developed by Google for internal use, TensorFlow is an open source platform for machine learning. Available across all common operating systems (desktop, server and mobile), TensorFlow provides stable APIs for Python and C as well as APIs that are not guaranteed to be backwards compatible or are 3rd party for a variety of other languages. The platform can be easily deployed on multiple CPUs, GPUs and Google's proprietary chip, the tensor processing unit (TPU). TensorFlow...
    Downloads: 16 This Week
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  • 2
    Double Conversion

    Double Conversion

    Efficient binary-decimal & decimal-binary conversion routines for IEEE

    Double Conversion is a high-performance C++ library that provides precise and efficient binary-decimal and decimal-binary conversion routines for IEEE 754 double-precision floating-point numbers. Originally extracted from the V8 JavaScript engine, it was refactored into a standalone library to make its robust number conversion algorithms easily reusable in other projects. The library ensures consistent and accurate results for converting between double values and their string representations, avoiding rounding errors and performance bottlenecks common in standard conversion routines. ...
    Downloads: 0 This Week
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  • 3
    GenAI Processors

    GenAI Processors

    GenAI Processors is a lightweight Python library

    GenAI Processors is a lightweight Python library for building modular, asynchronous, and composable AI pipelines around Gemini. Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which makes sophisticated agent behaviors easy to express with simple operators. ...
    Downloads: 0 This Week
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  • 4
    The Reactive Extensions for Python

    The Reactive Extensions for Python

    Reactive extensions for Python

    RxPY is a library for composing asynchronous and event-based programs using observable collections and pipable query operators in Python. A library for composing asynchronous and event-based programs using observable collections and query operator functions in Python. Reactive Extensions for Python (RxPY) is a set of libraries for composing asynchronous and event-based programs using observable sequences and pipable query operators in Python.
    Downloads: 0 This Week
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    BoldTrail Real Estate CRM

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  • 5

    geometry3d

    A Python library for geometric objects in 3 dimentions

    ...It also can tell if it contains the other object or is it contained by that. Where appropriate, it's easy to check orthogonality and parallelism. Vectors are sub-typed from numpy ndarray class. Extensive unit tests are included. Test coverage exceeds 95%. See documentation of the library internals in section Files ( https://sourceforge.net/projects/geometry3d/files/ ).
    Downloads: 0 This Week
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  • 6
    Amazon Braket Strawberry Fields Plugin

    Amazon Braket Strawberry Fields Plugin

    An open source framework for using Amazon Braket devices

    An open-source framework for using Amazon Braket devices with the Strawberry Fields photonic device programming library. This plugin provides a BraketEngine class for running photonic quantum circuits created in Strawberry Fields on the Amazon Braket service. The Amazon Braket Python SDK is an open source library that provides a framework to interact with quantum computing hardware devices and simulators through Amazon Braket. This plugin provides the classes BraketEngine for submitting...
    Downloads: 0 This Week
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  • 7
    SageMaker Scikit-Learn Extension

    SageMaker Scikit-Learn Extension

    A library of additional estimators and SageMaker tools based on scikit

    ...The mlio package is only available through conda at the moment. You can also install from source by cloning this repository and running a pip install command in the root directory of the repository. For unit tests, tox will use pytest to run the unit tests in a Python 3.7 interpreter. tox will also run flake8 and pylint for style checks.
    Downloads: 0 This Week
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  • 8
    Pinject

    Pinject

    A pythonic dependency injection library

    Pinject is a lightweight dependency-injection library for Python that favors explicit wiring and testability over magic. Instead of global singletons, you declare providers (bindings) that describe how to construct objects, and Pinject resolves the graph by inspecting call signatures. Its container supports constructor injection and fine-grained scoping so you can share expensive resources while keeping tests isolated. The library leans on Python’s introspection to minimize boilerplate,...
    Downloads: 0 This Week
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  • 9
    gditools

    gditools

    A Python program/library aimed at GD-ROM image files.

    This Python program/library is designed to handle GD-ROM image (GDI) files. It can be used to list files, extract data, generate sorttxt file, extract bootstrap (IP.BIN) file and more. This project can be used in standalone mode, in interactive mode or as a library in another Python program (check the 'addons' folder to learn how). For your convenience, you can use the gditools.py GUI program supplied in the Files section (optional). To use this project you must install the Python...
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    Downloads: 32 This Week
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    Turn more customers into advocates.

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  • 10
    Neural Libs

    Neural Libs

    Neural network library for developers

    This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
    Downloads: 1 This Week
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