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Creator of Keras and deep learning framework architect; builds accessible ML infrastructure and reasoning benchmarks.
inferred from the public footprint
Creator of foundational deep learning tools including fchollet/keras-resources and fchollet/ARC-AGI, a benchmark for measuring machine reasoning that's become central to AI capability evaluation. His work spans from practical model implementations to theoretical questions about artificial general intelligence.
Keras. I built AI model software that actually feels simple to use.
64kdeep-learning-with-python-notebooks. Jupyter notebooks for the code samples of the book "Deep Learning with Python"
20kKerasHub. I made pretrained AI models ready to use for text, images, and audio.
986ARC-AGI. I built a benchmark of visual reasoning puzzles for testing artificial intelligence.
4.8kKerasTuner. I built a tool that automatically finds the best settings for AI models.
2.9kParams. I built a marketplace where you can book calls with builders about their projects.
18keras-resources. Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
3.3kKeras Models. I made pre-trained image recognition models ready to use.
7.3kHualos. I built a tool to watch AI model training live on a graph.
362Keras Blog. I made a blog with tutorials and demos for Keras users.
135Nelder-Mead. I wrote a math optimizer that works without heavy dependencies.
131Keras Docs Japanese. I translated the Keras documentation into Japanese for developers in Japan.
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