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kabatyy/README.md

I enjoy training ML algorithms and deep neural nets

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  1. AutoGrad AutoGrad Public

    AutoGrad: A Learning Tool for Automatic Differentiation.This project features two autograd engines that follow patterns from Andrej Karpathy's micrograd: A minimal scalar-valued engine that provide…

    Jupyter Notebook

  2. ds-algorithms ds-algorithms Public

    This is my Data Structures and Algorithms playground! Everything here is implemented in C++ or C. Feel free to explore and use it for your own benefit. If you find it helpful, please leave a star ★ 😊.

    C++

  3. min-char-rnn min-char-rnn Public

    Minimal character level language model with a Vanilla RNN model in Numpy. There is also a nice notebook that breaks down the key concepts used in the script.

    Jupyter Notebook

  4. credit-card-customer-market-segmentation credit-card-customer-market-segmentation Public

    In this project, the objective is to segment a portfolio of credit card users according to usage characteristics. Customer segmentation is then used by marketing department to tailor products and s…

    Jupyter Notebook 1

  5. Driver-Drowsiness-Detection-In-Cars Driver-Drowsiness-Detection-In-Cars Public

    Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fall asleep while driving. The objective of this project was to build a drowsiness detection sy…

    Jupyter Notebook

  6. kenzzy kenzzy Public

    Kenzzy is a chatbot that utilizes OpenAI's language generation API to answer questions and have conversations. It can also generate creative writing prompts based on user input. The bot is built us…

    Python 1