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  1. jumera

    Library/module with Julia code to "learn" an efficient MERA representation of many-body quantum states, given a microscopic Hamiltonian.

    Jupyter Notebook 1

  2. DeterministicAnnealing

    An implementation of deterministic annealing for (unsupervised) clustering.

    Jupyter Notebook

  3. ML_exercises

    A record of some machine learning exercises I've done.

    Jupyter Notebook

  4. markov-music

    Forked from kstar/markov-music

    A simple Markov-chain-based music generator. It was trained on Bach's violin concertos and used as a demonstration for a lecture to physics undergraduates on stochastic process and Markov processes.

    Python

  5. ExpoLab

    Worksheet for my 'lecture' on the exponential.

    Makefile

199 contributions in the last year

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Contribution activity First pull request First issue First repository Joined GitHub

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