onnxruntime-rs
snips-nlu-rs
| onnxruntime-rs | snips-nlu-rs | |
|---|---|---|
| 2 | 2 | |
| 260 | 337 | |
| - | 0.0% | |
| 0.0 | 10.0 | |
| about 2 months ago | over 1 year ago | |
| Rust | Rust | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
onnxruntime-rs
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Deep Learning in Rust on GPU with onnxruntime-rs
I did: https://github.com/nbigaouette/onnxruntime-rs/pull/87 but the maintainer seems to be off. I sent an email.
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Interesting results comparing TF and Rust
I have used the https://github.com/nbigaouette/onnxruntime-rs ONNX C++ wrapper on a Pytorch model, and did not see any difference in compute time between ONNX Python and ONNX Rust for GPU.
snips-nlu-rs
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Ask HN: Offline, Embeddable Speech Recognition?
I am in shop for a speech recon library that works offline and can fit on a phone (Android).
I used to use Snips AI (https://snips.ai/), which worked well until it was acquired by Sonos. Now the portal is down and I can't modify the model anymore.
Looking for something ideally written in C or that can target C for portability. Free/libre and copyleft preferable to avoid the acquisition trap again.
Tapping into the vast pools of knowledge of HN; could you please suggest alternatives, preferably ones you have experience with?
Thank you.
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Getting long build times because of build script in dependency. Any work arounds?
Hey guys, I'm trying to write something that parses intents. I came across this: snips-nlu.
What are some alternatives?
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Porcupine - On-device wake word detection powered by deep learning
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SpeechLoop - Many ASRs under one roof. With Benchmarking... answering the question. What is the best ASR for my dataset?
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tractjs - Run ONNX and TensorFlow inference in the browser.
blindai - Confidential AI deployment with secure enclaves :lock:
steelix - Your one stop CLI for ONNX model analysis.