doramatadora/edgeml
Machine learning (ML) inference on Fastly's Compute@Edge
This project helps operations engineers and developers deploy machine learning models directly to Fastly's edge network for incredibly fast inference. You feed it an image, and it quickly classifies what's in the image using a pre-trained model like MobileNetV2, right at the edge. The target user is anyone building or managing applications that need real-time, low-latency ML inference for their users.
No commits in the last 6 months.
Use this if you need to run machine learning inference extremely close to your users to minimize latency for tasks like real-time image classification.
Not ideal if your ML models are very large or you require complex, multi-stage inference that isn't suited for a lightweight edge environment.
Stars
16
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4
Language
Rust
License
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Category
Last pushed
Jun 11, 2024
Commits (30d)
0
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