kana
RAVE
| kana | RAVE | |
|---|---|---|
| 2 | 9 | |
| 3 | 1,201 | |
| - | - | |
| 1.7 | 7.7 | |
| about 1 year ago | 14 days ago | |
| JavaScript | Python | |
| MIT License | 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.
kana
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Ask HN: What weird technical scene are you fond/part of?
usig modern web technologies to develop high performance scientific applications. We built a highly optimized, interactive and exploratory application for single-cell data analysis[1]. it runs purely in the browser with no backend and scales upto 200K cells. similar efforts include the biowasm project [2].
[1] https://github.com/jkanche/kana
- Kana: Single Cell RNA-Sequencing Analysis in the Browser
RAVE
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How could you use AI for music inspiration/ideas?
Also, theres new tools like https://github.com/acids-ircam/RAVE which can be used to create new sounds, i feel like the more granular you work with AI on art, the better can help you out. Magentajs is pretty cool! Im still just playing with it but is easy to use so far.
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Sonification of particles coordinates
https://github.com/acids-ircam/RAVE hope this wasn't too much off topic, i'm just super enthusiastic about RAVE and have been trying to squeeze a sonification in with it with no good applications so far. this feels kinda awesome tho. maybe it fits?
- Zero coding experience, trying to setup a training environment and running into an error
- I train some models, but GPU usage is too low is that normal for learning a model in local?
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Ask HN: What weird technical scene are you fond/part of?
I'm in the deep learning music scene, which is due for its stable diffusion moment in the next year or two. The (primarily) timbre transfer system called RAVE is where I'm starting, and my contribution is to optimize the system to improve training time.
[] https://github.com/acids-ircam/RAVE/tree/master/rave
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Hello
I'm obsessed with generative audio models, particularly RAVE[0].
Music is set to have its GPT-3 / Stable Diffusion moment within a couple years.
I believe in 10 years the venn diagram of music made with computers and music made with neural nets will be a circle, and that now is a great time to jump in.
Would LOVE to swap notes with anyone else here into this. Email in bio.
[0] https://github.com/acids-ircam/RAVE
- Rave: Realtime Audio Variational AutoEncoder
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[D] What is state of the art for audio generation?
Source code is here: https://github.com/caillonantoine/RAVE
What are some alternatives?
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