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  • Universidad Nacional de Colombia
  • Colombia
  • 01:02 (UTC -05:00)

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DavidFM43/README.md

Hi 👋, I'm David Mora

A Computer Science @ National University of Colombia. I'm passionate about Deep Learning, its mathematical theory and applications in language, vision and more recently audio.

  • 🔭 I’m currently learning about:

    • nanogpt, I've been following Andrej Karpathy's Zero to Hero youtube series.
    • LLaMA 2, Alpaca, Falcon LLMs, mostly through HF.
    • peft HF library.
    • ggml also whisper.cpp and llama.cpp.
    • Tinygrad.
    • Semantic segmentation of Satellite Images.
      • GLNet, Ultra High resolution Satellite images.
  • 👯 I’m looking to collaborate on Kaggle competitions and cool NLP and CV deep learning projects.

  • 📫 If you want to chat about some project, you can reach me through my email dmorara@unal.edu.co or LinkedIn.

Pinned

  1. pytorch/pytorch pytorch/pytorch Public

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Python 78.9k 21.3k

  2. pytorch/vision pytorch/vision Public

    Datasets, Transforms and Models specific to Computer Vision

    Python 15.6k 6.9k

  3. landcover-segmentation landcover-segmentation Public

    DeepGlobe LandCover Satellite Image Segmentation Challenge

    Jupyter Notebook 4 1

  4. blood-vessel-segmentation blood-vessel-segmentation Public

    My solution for the "SenNet + HOA - Hacking the Human Vasculature in 3D" Kaggle research competition

    Jupyter Notebook

  5. Tensor-Puzzles Tensor-Puzzles Public

    Forked from srush/Tensor-Puzzles

    My solution to Sasha Rush's Tensor puzzles.

    Jupyter Notebook

  6. Automatic-action-item-identification Automatic-action-item-identification Public

    Tool for automatically extracting action items from a meeting recordings

    Jupyter Notebook