Pinned Repositories
android-midisuite
Android MIDI test programs and examples.
difflib
A C++11 implementation of the great python difflib utility
DPCRN_DNS3
Implementation of paper "DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement"
essentia
C++ library for audio and music analysis, description and synthesis, including Python bindings
karaoke-score
estimation user's song in karaoke for Android app
online_amt
Real-time Automatic Piano Transcription using PyTorch with Web Visualization
onsets-and-frames
A Pytorch implementation of Onsets and Frames (Hawthorne 2018)
open-unmix-pytorch
Open-Unmix - Music Source Separation for PyTorch
spleeter
Deezer source separation library including pretrained models.
StockFormer
PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".
boomwang's Repositories
boomwang/android-midisuite
Android MIDI test programs and examples.
boomwang/difflib
A C++11 implementation of the great python difflib utility
boomwang/DPCRN_DNS3
Implementation of paper "DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement"
boomwang/essentia
C++ library for audio and music analysis, description and synthesis, including Python bindings
boomwang/karaoke-score
estimation user's song in karaoke for Android app
boomwang/online_amt
Real-time Automatic Piano Transcription using PyTorch with Web Visualization
boomwang/onsets-and-frames
A Pytorch implementation of Onsets and Frames (Hawthorne 2018)
boomwang/open-unmix-pytorch
Open-Unmix - Music Source Separation for PyTorch
boomwang/spleeter
Deezer source separation library including pretrained models.
boomwang/StockFormer
PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".
boomwang/trading-momentum-transformer
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
boomwang/transition-aware
Transition-aware is an CRNN-based piano transcription model, inferring onset, pitch of 88 notes from raw audios. Compared with the existing models, like Onsets and Frames and High-resolution, Transition-aware is a more stable and robust approach as mentioned in our paper.