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.
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.
BanyanDataFrames.jl is an open-source library for processing massive Parquet/CSV/Arrow datasets in your Virtual Private Cloud. One of the key goals of the project is to match the API of DataFrames.jl as much as possible. In this talk, we will provide an overview of BanyanDataFrames.jl and discuss challenges and success so far in achieving massively scalable data analytics with the Julia language.