CJ Carr's starred repositories
audiocraft
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 music generation LM with textual and melodic conditioning.
latent-consistency-model
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
descript-audio-codec
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
Catch-A-Waveform
Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)
MuseMorphose
PyTorch implementation of MuseMorphose (published at IEEE/ACM TASLP), a Transformer-based model for music style transfer.
hyperdreambooth
Implementation of HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Fastformer-PyTorch
Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
download-musiccaps-dataset
Download the MusicCaps dataset for music captioning
ord-litecoin
👁🗨 Rare and exotic sats
KaraSinger
ICASSP 2022
NU-Wave-pytorch
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
CLIPTranslate
Our attempt to use AudioCLIP to translate any modality into sound or images. Inspired by deep-daze, big-sleep, latent2visions etc
MachineLearningOperators
Table with operator formulas and mappings at a glance, as much ML documentation is missing details