slowbug
spleeter-web
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| slowbug | spleeter-web | |
|---|---|---|
| 5 | 5 | |
| 51 | 380 | |
| - | - | |
| 1.8 | 9.4 | |
| over 3 years ago | 6 days ago | |
| TypeScript | TypeScript | |
| MIT License | 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.
slowbug
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Ask HN: What Are You Working On?
Made a VS Code extension that lets you debug the code by running it slowly.
- Slowbug - a VS Code extension that allows you to debug your code in slow-mo
- Slowbug - a VS Code extension I made that allows you to debug your code in slow-mo. Useful for debugging Python codebases.
- Slowbug - a VS Code extension that allows you to debug your code in slow-mo.
- Show HN: Slowbug – Debug your code in slow-mo
spleeter-web
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Instrument Isolate for foobar2000
or https://github.com/JeffreyCA/spleeter-web
- Any self hosted vocal removal utility.
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Get Started Making Music
There's a webservice to separate a song using Demucs here:
And a great Dockerized webapp that lets you choose from several models and parameters here:
https://github.com/JeffreyCA/spleeter-web
Otherwise you can just install them locally and run them through the CLI, it's pretty easy (one command)
https://github.com/facebookresearch/demucs#for-musicians
https://github.com/deezer/spleeter#quick-start
2. Now you can take the isolated vocals, and build the rest of the song yourself -
LALAL.AI: 100% AI-Powered separation of instrumental and vocal track, seriously impressive.
For the more tech-savvy folks and programmers alike: I've been working self-hostable web app that does this and supports Spleeter and many other models (fully open source): https://github.com/JeffreyCA/spleeter-web
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Ask HN: What Are You Working On?
Spleeter Web, a self-hostable web app for music source separation. It lets you isolate the vocal, accompaniment, bass, and/or drums of any piece of music using deep learning-based source separation models. It's like moises.ai/ezstems.com but open-source.
I learned lots about building a full-stack web app ground-up as well as how to containerize the whole thing with Docker.
What are some alternatives?
rnnoise - Recurrent neural network for audio noise reduction
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
terminusdb - TerminusDB is a distributed database with a collaboration model
spleeter - Deezer source separation library including pretrained models.
rust-starter - Rust Starter Project
LIPS - Scheme based powerful lisp interpreter in JavaScript
nix-home-manager - Nix to manage my computing life
maplibre-gl-js - MapLibre GL JS - Interactive vector tile maps in WebGL2
go-mcu - Alternative CLI tool and Go package for NodeMCU-based modules.
Rev-Registration - Automatic class scheduler for Texas A&M written with Python+Django and React+Typescript
thegreatsuspender - A chrome extension for suspending all tabs to free up memory
Oat++ - 🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.