Highlights
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Tutorial on using machine learning for acoustics. This tutorial covers a wide range of machine learning approaches for acoustic applications.
[NeurIPS 2025] Separate Anything in Audio with Zero Training
🪄 Create rich visualizations with AI
A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
Maple Mono: Open source monospace font with round corner, ligatures and Nerd-Font icons for IDE and terminal, fine-grained customization options. 带连字和控制台图标的圆角等宽字体,中英文宽度完美2:1,细粒度的自定义选项
A curated list of my favourite music DSP and audio programming resources
An open-source Python GUI for 3D acoustic simulations
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Companion codebase for the paper "A Review on Score-based Generative Models for Audio Applications" (https://arxiv.org/abs/2506.08457)
Implementation of "Look, Listen and Recognise:character-aware audio-visual subtitling"
🎵 Leverage your musical inspiration with AI enhanced audio processing! 🚀 Entry at the 2024 MistralAI Paris Hackathon
A community-maintained Python framework for creating mathematical animations.
A Python Library for Full Reference Binaural Fidelity Testing, Visualization & Feature Generation
(Netflix 2025) Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
SUpDEq - Spatial Upsampling by Directional Equalization
Sylber: Syllabic Embedding Representation of Speech from Raw Audio
LongCat Audio Tokenizer and Detokenizer
Metrics for evaluating music and audio generative models – with a focus on long-form, full-band, and stereo generations.
The official code repository for SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement
[NeurIPS 2024] Code, Dataset, Samples for the VATT paper “ Tell What You Hear From What You See - Video to Audio Generation Through Text”
Code for the paper "An instantaneous voice synthesis neuroprosthesis" Wairagkar et al. Nature 2025
GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.
ucsdmanorlab / abranalysis
Forked from abhierra2/ucsdpracticumAutomated ABR Analysis