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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…

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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.

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

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

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4. qec-neural-decoder qec-neural-decoder Public

   Neural network decoder for quantum error correction using a basic 7-qubit repetition code. Implements noisy syndrome extraction, correlated bit-flip noise simulation, and compares the learned decod…

   Jupyter Notebook 1