JuliaCon 2022 (Times are UTC)

Large-Scale Machine Learning Inference with BanyanONNXRunTime.jl
07-28, 17:00–17:10 (UTC), Blue

BanyanONNXRunTime.jl is an open-source Julia package for running PyTorch/TensorFlow models on large distributed arrays. In this talk, we show how you can use BanyanONNXRunTime.jl with BanyanDataFrames.jl for running ML models on tabular data and with BanyanImages.jl for running ML models on image data.


More information about BanyanONNXRunTime.jl can be found on GitHub:
https://github.com/banyan-team/banyan-julia
https://github.com/banyan-team/banyan-julia-examples

I'm Caleb. I'm currently studying Computer Science at the University of Washington and will be doing research at Stanford next year. My research interests are quite broad and I have published work in areas including both brain-computer interfaces and wet lab automation and I would be happy to chat about these things. I'm also currently working on https://BanyanComputing.com. Outside of CS, I love composing music and playing the alto sax in an ensemble group with my siblings.

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