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Dynamic Time Warping

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/msd-irimas/shapedba

공식 코드

ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging

https://github.com/neubluk/tsavg

공식 코드

Improving Forecasts for Heterogeneous Time Series by "Averaging", with Application to Food Demand Forecast

https://github.com/nyrahealth/crisperwhisper

공식 코드

CrisperWhisper: Accurate Timestamps on Verbatim Speech Transcriptions

https://github.com/pelindogan/NeuMATCH

공식 코드

A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)

https://github.com/rotem-shalev/Ham2Pose

공식 코드

Ham2Pose: Animating Sign Language Notation into Pose Sequences

https://github.com/rpeloff/multimodal-one-shot-learning

공식 코드

Multimodal One-Shot Learning of Speech and Images

https://github.com/rtavenar/MatchAndDeform

공식 코드

Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment

https://github.com/rtavenar/dtw_gi

공식 코드

Time Series Alignment with Global Invariances

https://github.com/samcohen16/Aligning-Time-Series

공식 코드

Aligning Time Series on Incomparable Spaces

https://github.com/sathvikb007/ECG-TSC-FSL

공식 코드

Similarity Learning based Few Shot Learning for ECG Time Series Classification

https://github.com/sheoyon-jhin/contime

공식 코드

Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization

https://github.com/sildater/parangonar

공식 코드

Online Symbolic Music Alignment with Offline Reinforcement Learning

https://github.com/sildater/thegluenote

공식 코드

TheGlueNote: Learned Representations for Robust and Flexible Note Alignment

https://github.com/sisl/cnnhyperscanningclassification

공식 코드

Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data

https://github.com/src-d/lapjv

공식 코드

Comparing Temporal Graphs Using Dynamic Time Warping

https://github.com/tahabelkhouja/dtw-ar

공식 코드

Dynamic Time Warping based Adversarial Framework for Time-Series Domain

https://github.com/tahabelkhouja/robust-training-for-time-series

공식 코드

Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis

https://github.com/timd1/squigglefilter

공식 코드

SquiggleFilter: An Accelerator for Portable Virus Detection

https://github.com/travers-rhodes/timewarpvae

공식 코드

TimewarpVAE: Simultaneous Time-Warping and Representation Learning of Trajectories

https://github.com/tudelft-cda-lab/secleds

공식 코드

SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting

https://github.com/uchidalab/time_series_augmentation

공식 코드

Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher

https://github.com/uchidalab/vary_length_time_series

공식 코드

On Mini-Batch Training with Varying Length Time Series

https://github.com/vincent-leguen/DILATE

공식 코드

Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models

https://github.com/vincent-leguen/STDL

공식 코드

Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models

https://github.com/wilkinghoff/kws-dailytalk

공식 코드

TACos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping

https://github.com/wjassim/WARP-Q

공식 코드

WARP-Q: Quality Prediction For Generative Neural Speech Codecs

https://github.com/yyuncong/tempclr

공식 코드

TempCLR: Temporal Alignment Representation with Contrastive Learning

https://bitbucket.org/ndnlp/speech2translation

An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages

https://github.com/9552nZ/SmartSheetMusic

shapeDTW: shape Dynamic Time Warping

https://github.com/DanielSongShen/TC-DTW

TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering

https://github.com/Dianezzy/ParaLip

Learning the Beauty in Songs: Neural Singing Voice Beautifier

https://github.com/Maghoumi/DeepNAG

Soft-DTW: a Differentiable Loss Function for Time-Series

https://github.com/MindSpore-scientific/code-12/tree/main/AGW

Multilingual Jointly Trained Acoustic and Written Word Embeddings

https://github.com/MoonInTheRiver/DiffSinger

Learning the Beauty in Songs: Neural Singing Voice Beautifier

https://github.com/PeteWe/ts_similarity_tensorflow

Soft-DTW: a Differentiable Loss Function for Time-Series

https://github.com/RayeRen/RayeRen

Learning the Beauty in Songs: Neural Singing Voice Beautifier

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