Category: AI and Machine Learning

  • Painless Explainability for NLP/Text Models with LIME and ELI5

    Painless Explainability for NLP/Text Models with LIME and ELI5

    Introduction Explainability of machine learning models is a hot topic right now – particularly in deep learning where models are that bit harder to reason about and understand. These models are often called ‘black boxes’ because you put something in, you get something out and you don’t really know how that outcome was achieved. The…

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  • Reproducing ‘ancient’ experiments with Pytorch inside docker

    Reproducing ‘ancient’ experiments with Pytorch inside docker

    Introduction Open machine learning research is undergoing something of a reproducibiltiy crisis. In fairness it’s not usually the authors’ fault – or at least not entirely. We’re a fickle industry and the tools and frameworks were ‘in vogue’ and state of the art a couple of years ago are now obsolete. Furthermore, academics and open…

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