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Hi there! I'm Fern.

I've worked with neural networks for a good little while, and am passionate about making code that accelerates the progress of research.

A lot of what I do that I feel stands out is making contributions that are as simple as possible to use, learn, and hack into, while still being extremely performant. Think of it as a digital workbench for various research modes that you can clone and hack into to try new ideas out in minutes, not hours.

A lot of the time and effort that I put into this is self-sponsored, so the more support I get, the more I'm able to focus directly on the work itself! Your support really goes a long way to help!

If you'd like a sample of the work that I've done, feel free to check out my repos, gists, or my Twitter page (@hi_tysam), and feel free to DM me on Twitter if you have any questions. I'd love to chat!

1 sponsor has funded tysam-code’s work.

@Algomancer

Featured work

  1. tysam-code/hlb-CIFAR10

    Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

    Python 1,230
  2. tysam-code/hlb-gpt

    Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wikitext-103 on a single A100 in <100 seconds. Scales to large…

    Python 340

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