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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'm a software engineer at Qualcomm R&D, where I work on compilers and machine learning.

Before joining Qualcomm, I did my PhD at the University of Edinburgh, supervised by Professor Michael O’Boyle and Lecturer (Asst. Prof.) Elliot J. Crowley.

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 177 38

  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 24 4