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tangram
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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polars
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
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meta
🦀 GitHub Actions for Rust - recipes, discussions, questions and ideas (by actions-rs)
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SaaSHub
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tract reviews and mentions
- Rust Native ML Frameworks?
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Brain.js: GPU Accelerated Neural Networks in JavaScript
There's also tract, from sonos[0]. 100% rust.
I'm currently trying to use it to do speech recognition with a variant of the Conformer architecture (exported to ONNX).
The final goal is to do it in WASM client-side.
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Run deep neural network models from scratch
There are some DL libraries written in Rust: https://github.com/sonos/tract , https://docs.rs/neuronika/latest/neuronika/index.html . The second one could be used for training, I think.
- Which areas in tech have the most job density using Rust?
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BlindAI: fast and privacy-friendly AI deployment solution in Rust
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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[N] PyTorch 1.10 Release, including CUDA Graphs APIs, Frontend and compiler improvements
I like to use the setup pytorch -> onnx -> tract Tract runs efficiently on ARM single board computers.
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Hey Rustaceans! Got an easy question? Ask here (39/2021)!
If you can convert your model to ONNX, tract can work. I have also made somewhat good experiences with the tch torch bindings crate, though that's certainly a large dependency. The benefit is (mostly) seamless integration of the model you can train in python, with all the awesome tooling you get.
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How far along is the ML ecosystem with Rust?
tract is an ONNX runner written purely in Rust which will work for most Neural Network inference use cases.
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Visual Search in Rust using Deep Learning models - new open source project
Some story about it is that at our company we create a recommendation engine in Rust and one of strategies is to perform visual search for similar products. I almost lost all hope and wanted to do it in Python, but after some research I found an excellent library supporting ONNX runtime https://github.com/sonos/tract. So we are still a Rust monolith :).
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Newbie Rustacean... I participated in a hackathon at work building demos for WASM/WASI, and I got my demo publicly featured today. It uses tract for an ML inference engine. Such an ace OSS project, and way before I learned of wasi-nn 💖
Yes, using tract, which is a pretty awesome project! Check that out. I just wrote this simplistic demo last year, to test the capabilities of a serverless compute platform — it's all compiled to WebAssembly, running on a server, no binary to download, subject to resource constraints etc (repo if you're curious). ML is not my focus at all, and next I explore it again, it will be in the context of wasi-nn.
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A note from our sponsor - SonarLint
www.sonarlint.org | 1 Feb 2023
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sonos/tract is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.