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@fkodom

Frank Odom

fkodom
Huntsville, AL

Your sponsorship helps to support open-source artificial intelligence research. My recent work focuses on efficient Transformer-based architectures, especially for NLP, CV, and self-driving. All of this comes from my personal time, and is released under permissive licenses (e.g. MIT).

If you have benefited from my projects, please consider becoming a sponsor.

1 sponsor has funded fkodom’s work.

@fkodom

Gain an initial support base of repeat monthly sponsors.

@lucidrains

Featured work

  1. fkodom/fft-conv-pytorch

    Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

    Python 485
  2. fkodom/transformer-from-scratch

    Code implementation from my blog post: https://fkodom.substack.com/p/transformers-from-scratch-in-pytorch

    Python 90
  3. fkodom/yet-another-retnet

    A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (https://arxiv.org/pdf/2307.08621.pdf)

    Python 103
  4. fkodom/clip-text-decoder

    Generate text captions for images from their embeddings.

    Python 103
  5. fkodom/dilated-attention-pytorch

    (Unofficial) Implementation of dilated attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens" (https://arxiv.org/abs/2307.02486)

    Python 50
  6. Python 26

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