Popular GitHub Repositories for Dtw

The machine learning toolkit for time series analysis in Python

Transfer learning for time series classification

[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent Speech

一个 Python 库，用于计算两个输入之间的梅尔倒谱距离（梅尔倒谱失真，MCD）。此实现基于 Robert F. Kubichek 在“用于客观语音质量评估的梅尔倒谱距离度量”中提出的方法。

一个用于计算两个输入之间梅尔倒谱距离 (Mel-Cepstral Distortion, MCD) 的 Python 库。此实现基于 Robert F. Kubichek 在“用于客观语音质量评估的梅尔倒谱距离度量”中提出的方法。

Deep Non-Adversarial Gesture Generation

Multivariate time-series forecasting with LSTNET and soft-DTW loss

wildboar is a Python module for temporal machine learning

A simple application of DTW Algorithm in isolate word speech recognition.

Sales Time Series Forecasting using Machine Learning Techniques (Random Forest, XGBoost, Stacked Ensemble Regressor)

An approach for anomaly detection in Industrial Control Systems (ICS), using Water Treatment Dataset (SWaT). The implementation incorporates cutting-edge machine learning techniques, including Isolation Forest and Autoencoder models, augmented by Dynamic Time Warping (DTW) algorithm.

An interactive Streamlit web application for identifying potential trading pairs in futures markets using Norgate Data or uploaded files. It applies multiple statistical and machine learning techniques (Cointegration, Correlation, Distance, Clustering, DTW, Mutual Information) and features interactive visualization.

基于频谱图的多重动态时间规整

Code used to generate results for my thesis comparing Hidden Markov Models and Dynamic Time Warping as time series classification tools.