Stars
Repository for training models for music source separation.
Generative models for conditional audio generation
INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processin…
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation
Efficient neural networks for analog audio effect modeling
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
MIDI to image and image to MIDI conversion scripts
Score-based Generative Models (Diffusion Models) for Speech Enhancement and Dereverberation
Implementation of a U-net complete with efficient attention as well as the latest research findings
A fully invertible U-Net for memory efficiency in Pytorch.
The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!
Collection of audio-focused loss functions in PyTorch
Official repository of our paper: https://arxiv.org/abs/2010.15366
A PyTorch implementation of DNN-based source separation.
A fast implementation of bss_eval metrics for blind source separation
Backpropagable pytorch implementation of https://craffel.github.io/mir_eval/.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Open standard for machine learning interoperability
Tutorial covering Open Source tools for Source Separation.
KAREN: Unifying Hatespeech Detection and Benchmarking
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.