GUI for a Vocal Remover that uses Deep Neural Networks.
AuK: An Open-Source Foundational Model for Speech Generation and Editing
Ultimate Vocal Remover 5 with Gradio UI. Separate an audio file into various stems, using multiple models
Self-hostable web app for isolating the vocal, accompaniment, bass, and drums of any song. Supports Spleeter, Demucs, BS-RoFormer. Started in 2019.
The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation
The BEST music separation model with help of A.I. ... to my ears ! 👂👂
[NeurIPS 2025] Separate Anything in Audio with Zero Training
Ultimate Vocal Remover for Google Colab
DeepExtractV2 – lightning-fast, high-quality audio separator. Instantly isolate vocals, drums, bass, and more from any track. Ideal for creators, DJs, and audio pros.
Unsupervised blind source separation of mixed images and sounds with variational auto-encoders.
[🏆 IJCV 2025 & ACCV 2024 Best Paper Honorable Mention] Official pytorch implementation of the paper "High-Quality Visually-Guided Sound Separation from Diverse Categories"
Pack cuda environment for bytesep music separation and provide a simple gui.
Unofficial Pytorch implementation of SepTDA.
Official implementation of TISDiSS, a scalable framework for discriminative source separation.
This repository provides implementations for sparse graph separation, power graph experiments, and chemical property prediction.
🗑️ Remove unwanted data from CSV files with ease, preserving your source while saving output neatly in the project’s outputs folder.
Repository for training models for music source separation.
DSPM-DE 纳滤膜分离性能模拟器：基于 Donnan-Steric Pore Model with Dielectric Exclusion 的多组分电解质纳滤模拟/数据拟合/批量模拟（Streamlit + Plotly + NanoFiltran）
This program takes the email, splits it into two parts: username and domain, and prints them in the output.
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