edgeml
tevr-asr-tool
edgeml | tevr-asr-tool | |
---|---|---|
1 | 9 | |
12 | 408 | |
- | 0.0% | |
0.0 | 5.9 | |
about 1 year ago | over 1 year ago | |
Rust | C | |
- | MIT License |
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.
edgeml
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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.
tevr-asr-tool
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Ask HN: Why is pay so much higher in the US? (or is it?)
Do some cool open source stuff. Since August 9th, I received about 50 job offers mentioning this repo: https://github.com/DeutscheKI/tevr-asr-tool Most of them were senior engineer or AI researcher, with a few CTO / co-founder offers sprinkled in. I'm not in the market and this was a bit unexpected to me, but those emails sounded like they would pay well. And most was remote for US companies.
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Ask HN: Who is using C++ as the main language for new project?
Me, because I plan to extend to realtime processing: https://github.com/DeutscheKI/tevr-asr-tool
Also, all the performance critical stuff on my production servers is C++ with JNI or pybind wrappers.
- Show HN: 用284行C++语言实现最先进的德语语音识别 (Show HN: State-of-the-art German speech recognition in 284 lines of C++)
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Show HN: State-of-the-Art German Speech Recognition in 284 lines of C++
The unique work that makes this speech recognition superior to other tools is in those 284 lines of code: https://github.com/DeutscheKI/tevr-asr-tool/blob/master/tevr...
That's a custom-designed beam search decoder implemented in C++ and based on the research for my TEVR paper. It increases performance by a relative 16% reduction in word error rate.
What are some alternatives?
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
k8deployer - An experimental deployer for kubernetes apps for developers who are too lazy (or busy) to learn Helm.
SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
MathAnimation - A simple C++/OpenGL application to create quick and dirty mathematically accurate animations
materialize - The data warehouse for operational workloads.
gui_starter_template - A template CMake project to get you started with C++ and tooling
CppCoreGuidelines - The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
awesome-modern-cpp - A collection of resources on modern C++
windmap
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