GithubHelp home page GithubHelp logo

Simon's Projects

acoss icon acoss

acoss: Audio Cover Song Suite is a framework for feature extraction and benchmarking for the cover song identification (CSI) task

bertsum icon bertsum

Code for paper Fine-tune BERT for Extractive Summarization

bytecover icon bytecover

Implementation of "Bytecover: Cover song identification via multi-loss training" paper (ICASSP 2021)

contrastive-product-matching icon contrastive-product-matching

This repository contains the code to reproduce the experiments of the poster "Supervised Contrastive Learning for Product Matching"

cqtnet icon cqtnet

LEARNING A REPRESENTATION FOR COVER SONG IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK. ICASSP2020

da-tacos icon da-tacos

A Dataset for Cover Song Identification and Understanding

datasets_shs_yt_cotraining icon datasets_shs_yt_cotraining

Datasets used for cotraining for multimodal cover song identification. Based on SHS100K and an own YouTube-crawl of potential covers.

ditto icon ditto

Code for the paper "Deep Entity Matching with Pre-trained Language Models"

hiergat icon hiergat

the implementation of "Entity Resolution via Hierarchical Graph Attention Network"

move icon move

PyTorch code for training and evaluating MOVE, musically-motivated version embeddings

multipitch_architectures icon 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

ogb icon ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

presumm icon presumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

pyrouge icon pyrouge

An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization

re-move icon re-move

Training and evaluation code for Re-MOVE models with embedding distillation

sgc icon sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

tppnet icon tppnet

Temporal Pyramid Pooling Convolutional Neural Network for Cover Song Identification

zeroer icon zeroer

Entity resolution using zero labeled examples

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.