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[P] Deploy models to AWS

Hi everyone,

I posted here ~4 months ago about an open source ML platform I’m working on. The main feedback I got from the community is to add support for more frameworks besides TensorFlow and to focus on making model deployment as simple as possible.

The latest version connects TF Serving, ONNX Runtime, and Flask to automatically deploy TensorFlow, PyTorch, XGBoost, and other models as web APIs. It also uses Docker and Kubernetes behind the scenes to autoscale endpoints, run rolling updates, and support CPU and GPU inference.

Your feedback was really useful to me last time so I’d love to hear your thoughts about this version.

https://github.com/cortexlabs/cortex

submitted by /u/ospillinger
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.