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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.

Pinned

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

    Python 1

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

    Jupyter Notebook 131 25

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

    Python 60 16

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

    Python 2

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

    OCaml

  6. PyTorch -> ONNX -> TVM for autotuning

    Python 17 3

846 contributions in the last year

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Contribution activity

August 1, 2021

jack-willturner has no activity yet for this period.

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