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Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External Controls
This is the dataset repository for the paper: POP909: A Pop-song Dataset for Music Arrangement Generation
PyTorch implementation of MuseMorphose (published at IEEE/ACM TASLP), a Transformer-based model for music style transfer.
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Generative models for conditional audio generation
The official implementation of DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
Official code for Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion (ICML 2024, Oral).
Official implementation of compound word transformer (AAAI'21)
[Official Repo] Visual Mamba: A Survey and New Outlooks
Audio Plugin for Audio to MIDI transcription using deep learning.
RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.
Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;
Denoising Diffusion Probabilistic Models
Symbolic Music Generation with Diffusion Models
This is the official implementation of MusER (AAAI'24).
Mustango: Toward Controllable Text-to-Music Generation
Pytorch library for fast transformer implementations
Transformer related optimization, including BERT, GPT
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Code for the paper "LLark: A Multimodal Instruction-Following Language Model for Music" by Josh Gardner, Simon Durand, Daniel Stoller, and Rachel Bittner.