Pinned Repositories
acoss
acoss: Audio Cover Song Suite is a framework for feature extraction and benchmarking for the cover song identification (CSI) task
BertSum
Code for paper Fine-tune BERT for Extractive Summarization
bytecover
Implementation of "Bytecover: Cover song identification via multi-loss training" paper (ICASSP 2021)
CondViT_CSI
Implementation of Conditional ViT
contrastive-product-matching
This repository contains the code to reproduce the experiments of the poster "Supervised Contrastive Learning for Product Matching"
CoverHunter
Official PyTorch implementation of CoverHunter
CQTNet
LEARNING A REPRESENTATION FOR COVER SONG IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK. ICASSP2020
da-tacos
A Dataset for Cover Song Identification and Understanding
re-move
Training and evaluation code for Re-MOVE models with embedding distillation
youtube_version_retrieval
This is the dataset repo for the paper "Music Version Retrieval from YouTube"
progsi's Repositories
progsi/acoss
acoss: Audio Cover Song Suite is a framework for feature extraction and benchmarking for the cover song identification (CSI) task
progsi/re-move
Training and evaluation code for Re-MOVE models with embedding distillation
progsi/youtube_version_retrieval
This is the dataset repo for the paper "Music Version Retrieval from YouTube"
progsi/BertSum
Code for paper Fine-tune BERT for Extractive Summarization
progsi/bytecover
Implementation of "Bytecover: Cover song identification via multi-loss training" paper (ICASSP 2021)
progsi/CondViT_CSI
Implementation of Conditional ViT
progsi/contrastive-product-matching
This repository contains the code to reproduce the experiments of the poster "Supervised Contrastive Learning for Product Matching"
progsi/CoverHunter
Official PyTorch implementation of CoverHunter
progsi/CQTNet
LEARNING A REPRESENTATION FOR COVER SONG IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK. ICASSP2020
progsi/da-tacos
A Dataset for Cover Song Identification and Understanding
progsi/datasets_shs_yt_cotraining
Datasets used for cotraining for multimodal cover song identification. Based on SHS100K and an own YouTube-crawl of potential covers.
progsi/ditto
Code for the paper "Deep Entity Matching with Pre-trained Language Models"
progsi/HierGAT
the implementation of "Entity Resolution via Hierarchical Graph Attention Network"
progsi/ibk
progsi/LIMoE-pytorch
PyTorch implementation of LIMoE
progsi/move
PyTorch code for training and evaluating MOVE, musically-motivated version embeddings
progsi/multipitch_architectures
Pytorch project accompanying the paper "Towards Improved Multi-Pitch Estimation: Large Architectures and the Challenge of Evaluation", submitted to IEEE/ACM Transactions on Audio, Speech & Language Processing
progsi/ner_validator
A small tool to validate NER annotations in inside-outside-beginning (IOB) format.
progsi/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
progsi/PreSumm
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
progsi/SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"
progsi/SHS-YT
progsi/SHS100K
metadata for SHS100K
progsi/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
progsi/TPPNet
Temporal Pyramid Pooling Convolutional Neural Network for Cover Song Identification
progsi/videopair_annotator
A streamlit-based webapp for annotation of (music) videos on YouTube.
progsi/worldliterature-wikipedia
World Literature According to Wikipedia
progsi/youtube_csv
progsi/yt_music_annotation
progsi/zeroer
Entity resolution using zero labeled examples