Deep Convolutional Neural Networks for Musical Source Separation

Code for the manim-generated scenes used in 3blue1brown videos

FrugalGPT: better quality and lower cost for LLM applications

Curated list of weekly published LLM papers

Implementation of the Wave-U-Net for audio source separation

CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

🙌 OpenHands: Code Less, Make More

We write your reusable computer vision tools. 💜

🚀 基于大语言模型和 RAG 的知识库问答系统。开箱即用、模型中立、灵活编排，支持快速嵌入到第三方业务系统。

Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

Improved Wave-U-Net implemented in Pytorch

Code for the paper Hybrid Spectrogram and Waveform Source Separation

Self-hostable web app for isolating the vocal, accompaniment, bass, and drums of any song. Supports Spleeter, D3Net, Demucs, Tasnet, X-UMX. Built with React and Django.

Demucs Lightning: A PyTorch lightning version of Demucs with Hydra and Tensorboard features

C++17 port of Open-Unmix-PyTorch with streaming LSTM inference, ggml, quantization, and Eigen

free website for client-side music demixing with Demucs + WebAssembly

C++17 port of Demucs v3 (hybrid) and v4 (hybrid transformer) models with ggml and Eigen3

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a ca…

A flexible source separation library in Python

Tutorial covering Open Source tools for Source Separation.

Python library for audio and music analysis

Harmonic/Percussive Sound Separation

Real-time Audio-to-audio Karaoke Generation System for Monaural Music

🎮 Open-source, cross-platform 2D/3D/multiplayer game engine designed for everyone.

🚀 The easiest way to automate building and releasing your iOS and Android apps

The first real AI developer

🎓 Path to a free self-taught education in Computer Science!

High accuracy RAG for answering questions from scientific documents with citations