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  1. Machine-Learning-From-Scratch Machine-Learning-From-Scratch Public

    The most common machine learning models and algorithms programmed from first principles. The aim is to implement these models and algorithms to the same standard as widely used libraries such as sc…

    Jupyter Notebook

  2. Capstone-Project Capstone-Project Public

    Bayesian optimisation of black-box functions (with direct relevance to ML/DL) under strict evaluation budgets using Scikit-Optimize.

    Jupyter Notebook

  3. Deep-Learning-From-Scratch Deep-Learning-From-Scratch Public

    Implementing deep learning models from scratch without using PyTorch and TensorFlow.

    Jupyter Notebook