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@frgfm

F-G Fernandez

frgfm
Paris, FR

Hello there!
I'm F-G (short for François-Guillaume 🇫🇷)

Who am I?

  • 👨‍🦱 a Deep Learning Engineer (primarily Computer Vision) @Mindee
  • 🌲 a co-founder of an NGO developping affordable detectors for forest wildfires @PyroNear
  • 🤗 a big OSS contributor (my own projects & @PyTorch)

Feel free to reach out on GitHub, Twitter or LinkedIn!

What am I working on?

Project I initiated:

  • docTR (@Mindee): a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
  • Pyronear: leading the computer vision and back-end projects.
  • Holocron: personal implementations of recent deep learning papers.
  • TorchCAM: efficient model interpretability for your deep learning models.
  • Torchscan: insights into your own models (RAM usage, FLOPs, MACs, receptive field, etc.)

& contributing to other OSS projects!

Why sponsoring me?

I spent a significant amount of time on open-source, and I would love to be able to continue that without stepping too much into my personal spare time 😅 Sponsoring is one way of saying thanks and helping keep these tools maintained 😁
Here is what you'd be contributing to:

  • 💻 Software development: helping me not to feel guilty spending that much free time on open source 🤗
  • ⚙️ Hardware: some projects (especially in Deep Learning) require high-end hardware, which doesn't come cheap!

3 sponsors have funded frgfm’s work.

@felixdittrich92
Private Sponsor
@taskswithcode

Featured work

  1. pytorch/vision

    Datasets, Transforms and Models specific to Computer Vision

    Python 16,207
  2. mindee/doctr

    docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

    Python 3,827
  3. frgfm/torch-cam

    Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

    Python 2,025
  4. frgfm/Holocron

    PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix

    Python 318
  5. frgfm/torch-scan

    Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)

    Python 208
  6. pyronear/pyro-vision

    Computer vision library for wildfire detection 🌲 Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)

    Python 51

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I don't drink coffee, but thanks for the tea 🍵

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