Showing 8 open source projects for "reason"

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  • 1
    handson-ml2

    handson-ml2

    Jupyter notebooks that walk you through the fundamentals of ML

    ...The notebooks emphasize end-to-end workflows: data preparation, model selection, tuning, and reliable evaluation. Deep learning sections use the contemporary Keras/TensorFlow 2 ecosystem, highlighting clean APIs and eager execution to make experiments easier to reason about. Traditional ML topics remain central, with scikit-learn pipelines, feature engineering, and cross-validation patterns that transfer to real projects. The material favors clear explanations and runnable code over theory alone, so learners can iterate, visualize, and debug as they go. It’s suitable for self-study, classrooms, and as a reference for practitioners who want concise, working examples of common ML tasks.
    Downloads: 0 This Week
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  • 2
    NeuralForecast

    NeuralForecast

    Scalable and user friendly neural forecasting algorithms.

    ...Unfortunately, available implementations and published research are yet to realize neural networks' potential. They are hard to use and continuously fail to improve over statistical methods while being computationally prohibitive. For this reason, we created NeuralForecast, a library favoring proven accurate and efficient models focusing on their usability.
    Downloads: 0 This Week
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  • 3
    Gorgonia

    Gorgonia

    Gorgonia is a library that helps facilitate machine learning in Go

    ...It should bring the appeal of Go (simple compilation and deployment process) to the ML world. It's a long way from there currently, however, the baby steps are already there. The main reason to use Gorgonia is developer comfort. If you're using a Go stack extensively, now you have access to the ability to create production-ready machine learning systems in an environment that you are already familiar and comfortable with.
    Downloads: 0 This Week
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  • 4
    Pigo

    Pigo

    Fast face detection, pupil/eyes localization

    ...Pigo is a pure Go face detection, pupil/eyes localization and facial landmark points detection library based on the Pixel Intensity Comparison-based Object detection paper. The reason why Pigo has been developed is because almost all of the currently existing solutions for face detection in the Go ecosystem are purely bindings to some C/C++ libraries like OpenCV or dlib, but calling a C program through cgo introduces huge latencies and implies a significant trade-off in terms of performance. Also, in many cases installing OpenCV on various platforms is cumbersome.
    Downloads: 2 This Week
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  • 5
    PandaOCR

    PandaOCR

    Multifunctional OCR Image and Text Recognition

    ...It is recommended for you to use it! The normal version will continue to be maintained, and all interfaces will be retained but no new functions will be added. The reason why the version number of the professional version starts from 5.x is that the normal version will be updated in the future, so a period of version number is reserved. You can continue to use the regular version for free as before, without worrying about deactivating the regular version after the launch of the professional version. ...
    Downloads: 0 This Week
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  • 6
    Pwnagotchi

    Pwnagotchi

    Deep Reinforcement learning instrumenting bettercap for WiFi pwning

    ...Instead of merely playing Super Mario or Atari games like most reinforcement learning based “AI” (yawn), Pwnagotchi tunes its own parameters over time to get better at pwning WiFi things in the real world environments you expose it to. To give hackers an excuse to learn about reinforcement learning and WiFi networking, and have a reason to get out for more walks.
    Downloads: 1 This Week
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  • 7
    Pipcook

    Pipcook

    Machine learning platform for Web developers

    ...We are truly to design Pipcook's API for front-end and machine learning applications, and focusing on the front-end area and developed from the JavaScript engineers' view. With the principle of being friendly to JavaScript, we will push the whole area forward with the machine learning engineering. For this reason we opened an issue about machine-learning application APIs, and look forward to you get involved.
    Downloads: 0 This Week
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  • 8

    LAML:Linear Algebra and Machine Learning

    A stand-alone Java library for linear algebra and machine learning

    LAML is a stand-alone pure Java library for linear algebra and machine learning. The goal is to build efficient and easy-to-use linear algebra and machine learning libraries. The reason why linear algebra and machine learning are built together is that full control of the basic data structures for matrices and vectors is required to have fast implementation for machine learning methods. Additionally, LAML provides a lot of commonly used matrix functions in the same signature to MATLAB, thus can also be used to manually convert MATLAB code to Java code.
    Downloads: 0 This Week
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