The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 5 Shell Cuda Projects
-
ffmpeg-build-script
The FFmpeg build script provides an easy way to build a static FFmpeg on OSX and Linux with non-free codecs included.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
awesome-os-setup
Windows & Linux automated scripts & docs to improve your UX & productivity (including WSL2, conda, GPU drivers & development tools)
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Project mention: Amazon plans to charge for Alexa in June–unless internal conflict delays revamp | news.ycombinator.com | 2024-01-20Yeah, whisper is the closest thing we have, but even it requires more processing power than is present in most of these edge devices in order to feel smooth. I've started a voice interface project on a Raspberry Pi 4, and it takes about 3 seconds to produce a result. That's impressive, but not fast enough for Alexa.
From what I gather a Pi 5 can do it in 1.5 seconds, which is closer, so I suspect it's only a matter of time before we do have fully local STT running directly on speakers.
> Probably anathema to the space, but if the devices leaned into the ~five tasks people use them for (timers, weather, todo list?) could probably tighten up the AI models to be more accurate and/or resource efficient.
Yes, this is the approach taken by a lot of streaming STT systems, like Kaldi [0]. Rather than use a fully capable model, you train a specialized one that knows what kinds of things people are likely to say to it.
[0] http://kaldi-asr.org/
So, in all fairness, I'm running a version that i couldn't get working on Linux, and because of that, I'm running it on an SD card with Win10 installed in big picture mode. However, if you have an active license, you can use this tool https://github.com/cryinkfly/SOLIDWORKS-for-Linux
Project mention: A guide for WSL/Windows 11 users including the installation of WSL2, Conda, Cuda & more) | /r/LocalLLaMA | 2023-06-15Link to the repo
I used the GPU one (https://github.com/asadprodhan/GPU-accelerated-guppy-basecalling) but it does not seem to work
Shell Cuda related posts
- Amazon plans to charge for Alexa in June–unless internal conflict delays revamp
- Steve's Explanation of the Viterbi Algorithm
- The Advantages and disadvantages of In-House Speech Acknowledgment
- Machine Learning with Unix Pipes
- Lexicap: Lex Fridman Podcast Whisper Captions by Andrej Karpathy
- Try to install Fusion 360
- But i really need Fusion 360
-
A note from our sponsor - WorkOS
workos.com | 23 Apr 2024
Index
What are some of the best open-source Cuda projects in Shell? This list will help you:
Project | Stars | |
---|---|---|
1 | Kaldi Speech Recognition Toolkit | 13,685 |
2 | ffmpeg-build-script | 945 |
3 | SOLIDWORKS-for-Linux | 322 |
4 | awesome-os-setup | 105 |
5 | GPU-accelerated-guppy-basecalling | 15 |
Sponsored