Go Deeplearning Projects
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For Go specifically, there are some libraries like Gorgonia (https://github.com/gorgonia/gorgonia) that can do inference.
Practically speaking though, the rate at which models change is so fast that if you opt to go this route, you'll perpetually be lagging behind the state of the art by just a bit. Either you'll be the one implementing the latest improvements or be waiting for the framework to catch up. This is the real value of the sidecar approach: when a new technique comes out (like speculative decoding, for example) you don't need to reimplement it in Go but instead can use the implementation that most other python users will use.
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CodeRabbit
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onepanel
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
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Onepanel – Cloud-native deep learning platform
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[P] Onepanel - latest open source release now includes browser accessible deep learning desktop, hyperparameter tuning and Python DSL for defining parallel data processing or training pipelines.
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