The official repository for "Score Transformer: Generating Musical Scores from Note-level Representation" (MMAsia '21)

Last update: Dec 22, 2022

Related tags

Deep Learning ScoreTransformer

Overview

Score Transformer

This is the official repository for "Score Transformer":

Score Transformer: Generating Musical Scores from Note-level Representation (ACM Multimedia Asia 2021)
Score Transformer: Transcribing Quantized MIDI into Comprehensive Musical Score (ISMIR2021 LBD)

Project page: https://score-transformer.github.io/

Overview

This repository provides:

Tokenization tools between MusicXML scores and score tokens
Metrics used in the papers (to be released)

Owner

GitHub Repository https://score-transformer.github.io

Recursive Bayesian Networks

Recursive Bayesian Networks This repository contains the code to reproduce the results from the NeurIPS 2021 paper Lieck R, Rohrmeier M (2021) Recursi

11 Oct 18, 2022

Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler

Part Detector Discovery This is the code used in our paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodne

17 Feb 22, 2022

scAR (single-cell Ambient Remover) is a package for data denoising in single-cell omics.

scAR scAR (single cell Ambient Remover) is a package for denoising multiple single cell omics data. It can be used for multiple tasks, such as, sgRNA

19 Nov 28, 2022

Numerical Methods with Python, Numpy and Matplotlib

Numerical Bric-a-Brac Collections of numerical techniques with Python and standard computational packages (Numpy, SciPy, Numba, Matplotlib ...). Diffe

10 Dec 20, 2021

Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21

Skeletal-GNN Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21 Various deep learning techniques have been propose

37 Oct 23, 2022

Simple, but essential Bayesian optimization package

BayesO: A Bayesian optimization framework in Python Simple, but essential Bayesian optimization package. http://bayeso.org Online documentation Instal

74 Dec 05, 2022

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

WebDataset WebDataset is a PyTorch Dataset (IterableDataset) implementation providing efficient access to datasets stored in POSIX tar archives and us

1.1k Jan 08, 2023

A robust camera and Lidar fusion based velocity estimator to undistort the pointcloud.

Lidar with Velocity A robust camera and Lidar fusion based velocity estimator to undistort the pointcloud. related paper: Lidar with Velocity : Motion

164 Dec 30, 2022

Add-on for importing and auto setup of character creator 3 character exports.

CC3 Blender Tools An add-on for importing and automatically setting up materials for Character Creator 3 character exports. Using Blender in the Chara

260 Jan 05, 2023

An official implementation of "Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation" (CVPR 2021) in PyTorch.

BANA This is the implementation of the paper "Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation". For more inf

59 Dec 12, 2022

Container : Context Aggregation Network

Container : Context Aggregation Network If you use this code for a paper please cite: @article{gao2021container, title={Container: Context Aggregati

47 Dec 16, 2022

Pytorch implementation of Zero-DCE++

Zero-DCE++ You can find more details here: https://li-chongyi.github.io/Proj_Zero-DCE++.html. You can find the details of our CVPR version: https://li

157 Dec 23, 2022

A Pytree Module system for Deep Learning in JAX

Treex A Pytree-based Module system for Deep Learning in JAX Intuitive: Modules are simple Python objects that respect Object-Oriented semantics and sh

216 Dec 20, 2022

This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.

Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation This repository contains PyTorch evaluation code, trainin

45 Dec 20, 2022

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

2017 VQA Challenge Winner (CVPR'17 Workshop) pytorch implementation of Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challeng

166 Dec 11, 2022

Boosted neural network for tabular data

XBNet - Xtremely Boosted Network Boosted neural network for tabular data XBNet is an open source project which is built with PyTorch which tries to co

175 Jan 04, 2023

Repo for paper "Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information"

Repo for paper "Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information" Notes I probabl

0 Jul 01, 2021

The official repository for "Score Transformer: Generating Musical Scores from Note-level Representation" (MMAsia '21)

Related tags

Overview

Score Transformer

Overview

Owner

Recursive Bayesian Networks

Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler

scAR (single-cell Ambient Remover) is a package for data denoising in single-cell omics.

Numerical Methods with Python, Numpy and Matplotlib

Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21

Simple, but essential Bayesian optimization package

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

A robust camera and Lidar fusion based velocity estimator to undistort the pointcloud.

Add-on for importing and auto setup of character creator 3 character exports.

An official implementation of "Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation" (CVPR 2021) in PyTorch.

Container : Context Aggregation Network

Pytorch implementation of Zero-DCE++

A Pytree Module system for Deep Learning in JAX

This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

Boosted neural network for tabular data

Repo for paper "Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information"

This package contains deep learning models and related scripts for RoseTTAFold

Speech Recognition using DeepSpeech2.

Use CLIP to represent video for Retrieval Task