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Building the future
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Building the future

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samholt/README.md

I'm a PhD student in the van der Schaar lab, a world-leading machine learning (ML) research group at the University of Cambridge. My research focuses on Reinforcement Learning (model-free and model-based), Planning, Control, Transformer Architectures, Large Language Models, Generative Models, Time Series Forecasting, Symbolic Regression (discovery), Continuous-time models (ODEs, Laplace transforms), and applications to healthcare and scientific discovery. Here on GitHub you can find research projects as well as open source software developed in my spare time.

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  1. NeuralLaplace NeuralLaplace Public

    Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.

    Python 71 11

  2. PacktPublishing/Practical-Machine-Learning-with-TensorFlow-2.0-and-Scikit-Learn PacktPublishing/Practical-Machine-Learning-with-TensorFlow-2.0-and-Scikit-Learn Public

    Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn [Video], published by Packt

    Jupyter Notebook 54 24