The repository provides links to collections of influential and interesting research papers from top AI conferences, with open-source code to promote reproducibility and provide detailed implementa…

Demo page of TCSinger

End-to-End Neural Diarization

Rust wrapper for Microsoft's ONNX Runtime (version 1.8)

Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch

Codi font de l'aplicació de creació musical en comunitat de Versembrant

darktable is an open source photography workflow application and raw developer

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audi…

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

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

aim-mlflow integration

Enjoy the magic of Diffusion models!

Open implementation of UNIVERSE and UNIVERSE++ diffusion-based speech enhancement models.

Differentiable dynamic range controller in PyTorch.

The MIR-MLPop dataset and the official implementation of the paper "MIR-MLPop: A Multilingual Pop Music Dataset with Time-Aligned Lyrics and Audio," ICASSP 2024.

Reference-aware automatic speech evaluation toolkit

Collection of EM algorithms for blind source separation of audio signals

Open source platform for the machine learning lifecycle

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

Metrics for evaluating music and audio generative models – with a focus on long-form, full-band, and stereo generations.

Variational Bayes HMM over x-vectors diarization

Improved Wave-U-Net implemented in Pytorch

Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs

Implementation of Linformer for Pytorch

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Boosting your Web Services of Deep Learning Applications.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.