Pinned Repositories
CreativeGAN-Rhythm
Creative Adversarial Network for generating Dance Music Rhythm Patterns
LoopGAN
StyleGAN2 + MelGAN Audio Loop Generation
M4L-CreativeGAN-Rhythm
Rhythm GAN/CAN player for Ableton Live / Max for Live
Node-for-Max-samples
Rhythm2Bass_M4L
RhythmVAE_M4L
Max for Live(M4L) Rhythm generator using Variational Autoencoder(VAE)
SpecGAN
SpecGAN - generate audio with adversarial training
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naotokui's Repositories
naotokui/RhythmVAE_M4L
Max for Live(M4L) Rhythm generator using Variational Autoencoder(VAE)
naotokui/LoopGAN
StyleGAN2 + MelGAN Audio Loop Generation
naotokui/CreativeGAN-Rhythm
Creative Adversarial Network for generating Dance Music Rhythm Patterns
naotokui/M4L-CreativeGAN-Rhythm
Rhythm GAN/CAN player for Ableton Live / Max for Live
naotokui/Rhythm2Bass_M4L
naotokui/ibt_beat_tracking
A beat tracking external for MaxMSP. https://github.com/marsyas/marsyas/tree/master/src/marsyas_max-msp
naotokui/MelodyVAE_M4L
naotokui/CLIP_Collage_ES
naotokui/ai-audio-startups
Community list of startups working with AI in audio and music technology
naotokui/audio-diffusion-pytorch
Audio generation using diffusion models, in PyTorch.
naotokui/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.
naotokui/AudioLDM
AudioLDM: Generate speech, sound effects, music and beyond, with text.
naotokui/riffusion
Stable diffusion for real-time music generation
naotokui/unloop_vampnet
a co-creative looper that uses generative modeling to **not** repeat itself.
naotokui/Adversarial_Patch_Attack
Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)
naotokui/audio-diffusion-pytorch-trainer
Trainer for audio-diffusion-pytorch
naotokui/BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
naotokui/Catch-A-Waveform
Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)
naotokui/clip-interrogator
naotokui/daw_in_2025
prototyping the future of DAW(using current DAW)
naotokui/ddsp
DDSP: Differentiable Digital Signal Processing
naotokui/diff-wave-synth
Unofficial PyTorch implementation of Differentiable Wavetable Synthesis by Shan et al., ICASSP 2022.
naotokui/diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
naotokui/LoopTest
Official repo of ISMIR-21 publication, “A Benchmarking Initiative for Audio-domain Music Generation using the FreeSound Loop Dataset”.
naotokui/melgan-neurips
GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis
naotokui/network-bending
Manipulating the inner representations of StyleGAN2
naotokui/neural-waveshaping-synthesis
efficient neural audio synthesis in the waveform domain
naotokui/pjloop-gan
naotokui/RAVE
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
naotokui/vampnet
music generation with masked transformers!