Ecosyste.ms sponsors
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An open API service aggregating public data about GitHub Sponsors.
Deep Learning Engineer by day, Open Source contributor by night :bat:
Funding Links: https://github.com/sponsors/frgfm
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!
Datasets, Transforms and Models specific to Computer Vision
Language: Python - Stars: 16308docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Language: Python - Stars: 3922Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Language: Python - Stars: 2041PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix
Language: Python - Stars: 320Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)
Language: Python - Stars: 208Computer vision library for wildfire detection 🌲 Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)
Language: Python - Stars: 52