mainframe
tevr-asr-tool
mainframe | tevr-asr-tool | |
---|---|---|
1 | 9 | |
3 | 406 | |
- | -0.5% | |
5.0 | 5.9 | |
12 months ago | almost 2 years ago | |
C++ | C | |
Boost Software License 1.0 | 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.
mainframe
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Ask HN: Who is using C++ as the main language for new project?
Just about any project you do in Unreal is a C++ project and Unreal is used all over the place - in games but also in industrial design and architecture for demos and visualization.
I started a project (https://github.com/tedmiddleton/mainframe) last year to make a dataframe in C++ because I was running into some performance limits in Pandas. I’m not sure how useful a C++ dataframe is - but I imagine it as being an alternative to going all the way to Hadoop and spark if you’ve outgrown pandas.
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?
litestream - Streaming replication for SQLite.
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.
MathAnimation - A simple C++/OpenGL application to create quick and dirty mathematically accurate animations
k8deployer - An experimental deployer for kubernetes apps for developers who are too lazy (or busy) to learn Helm.
windmap
SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller
gui_starter_template - A template CMake project to get you started with C++ and tooling
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
Wt - Wt, C++ Web Toolkit
Tasker - A commitment tracker desktop app that tracks the progress of your tasks with mouse, keyboard and audio hooks.
materialize - The data warehouse for operational workloads.