Rust Tensorflow Projects
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Project mention: Making a better Tensorflow thanks to strong typing | reddit.com/r/rust | 2022-05-26
What is the benefit of this compared to using bindings/a wrapper to Tensorflow, or other ML libraries written in C/C++, such as this community hosted project on tensorflow's github. If it's just for fun that is a valid enough reason imo, just curious since you describe it as a better Tensorflow because of the typing vs using the python wrapper, when there already exist ways to interact with tensorflow with both Rust and other statically typed languages, also including C++ (officially supported), C#, Haskell and Scala, as well as probably having bindings not mentioned on the documentation for more niche languages.
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Project mention: BlindAI: fast and privacy-friendly AI deployment solution in Rust | reddit.com/r/rust | 2022-05-19
I am glad to introduce BlindAI, an AI deployment solution, leveraging secure enclaves, to make remotely hosted AI models privacy friendly. We leverage the tract project as our inference engine to serve AI models in ONNX format inside an enclave. We also use the Rust SGX SDK to use Rust for our secure enclave for AI.
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
Rust Tensorflow related posts
- BlindAI: fast and privacy-friendly AI deployment solution in Rust
- Talking about AI framework front-end
- Tract: Tiny, no-nonsense, self-contained, TensorFlow and ONNX inference
- Integrating machine learning models into Rust applications?
- Is PyO3 library production ready?
- Hey Rustaceans! Got an easy question? Ask here (39/2021)!
- How far along is the ML ecosystem with Rust?
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