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Achievement: Pull Sharkx2Achievement: Starstruckx2Achievement: Arctic Code Vault Contributor

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jack-willturner/README.md

This is my personal page but most of my research code is released on the Bayesian and Neural Systems group GitHub.

I am a third (and final) year PhD student at the University of Edinburgh, supervised by Professor Michael O’Boyle and Lecturer (Asst. Prof.) Elliot J. Crowley. I'm in the fourth year of the Pervasive Parallelism CDT programme.

My research interests include (but are not limited to!):

  • Architecture rewriting in neural networks
  • Optimising compilers
  • Program transformations

In my spare time I enjoy baking bread, climbing rocks, and using Oxford commas.

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  1. gymnastics gymnastics Public

    A "gym" style toolkit for building lightweight NAS systems.

    Python 13 2

  2. deep-compression deep-compression Public

    Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

    Jupyter Notebook 173 40

  3. batchnorm-pruning batchnorm-pruning Public

    Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124

    Python 71 16

  4. deck-gen deck-gen Public

    Generate Anki decks for TV shows based on frequency of words in subtitles.

    Python 5 1

  5. toy_compiler toy_compiler Public

    A small programming language written in OCaml for final year Compiler Construction course.

    OCaml

  6. pytorch-onnx-tvm pytorch-onnx-tvm Public

    PyTorch -> ONNX -> TVM for autotuning

    Python 23 3