Discover Machine Learning in Ruby
summary
Page lists concrete outcomes: Andrew Kane’s ecosystem shows 153 million downloads and a popular gem at 23 million downloads; the ML Stack repo supplies IRuby notebooks that run MNIST and COCO examples; torch_rb exposes libtorch with CUDA support so Ruby can run GPU-accelerated tensor code; examples include running pretrained COCO models and MNIST training in a notebook and a production workflow that still uses YOLO V7 trained in PyTorch (Python) while Ruby gains inference and tooling but not full parity yet.
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chapters (7)
- 0:00Start
- 0:52Justin Bowen
- 3:22RailsConf 2021: Rails with Python for Computer Vision
- 5:30Who is Andrew Kane?
- 9:40Blazer
- 15:52What is a Tensor?
- 18:50Torch GPU
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