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CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models
Repository of the journal club "Diffusion Models and Generative Modeling"
Things you can do with the token embeddings of an LLM
A comprehensive guide on how to create beautiful scientific figures for technical publications, presentations, and posters
An implementation of Shazam's song recognition algorithm.
Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
Audio generation using diffusion models, in PyTorch.
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
A Zotero plugin for syncing items and notes into Notion
A framework for prototyping and benchmarking imputation methods
Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
VOCANO: A note transcription framework for singing voice in polyphonic music
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
Vesktop is a custom Discord App aiming to give you better performance and improve linux support
Generative models for conditional audio generation
A timeline of the latest AI models for audio generation, starting in 2023!
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
LaTeX Template for Mike Morrison's #betterposter
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
A game theoretic approach to explain the output of any machine learning model.
Vector Quantized VAEs - PyTorch Implementation