540 Open source projects that are alternatives of or similar to DTW

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

A machine learning toolkit dedicated to time-series data

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)

PyTorch implementations of neural networks for timeseries classification

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

Forecast time series and stock prices with SCINet

Predict time-series with one line of code.

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Probably the best curated list of data science books in Python

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

A Java library for Matrix Profile

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

Historical NAV/price/time-series data of mutual funds and popular benchmark indices in India

Functions for easily making publication-quality figures with matplotlib.

Brain Dynamics Programming in Python

TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.

NEURON User Interface

Neuroscience information exchange format

Graph theory analysis of brain MRI data

PlotTwist - a web app for plotting and annotating time-series data

Data visualization tool for wikis evolution

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Sync Toolbox - Python package with reference implementations for efficient, robust, and accurate music synchronization based on dynamic time warping (DTW)

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Time series visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

Statistical inference on machine learning or general non-parametric models

Official code for UnICORNN (ICML 2021)

Code examples for pyFTS

LSTM Mobility Model implementation using Tensorflow

A block modeling system for cognitive neuroscience

Time Series Ensemble Forecasting

Time series market data

NeuroInformatics Database

Wavefront Proxy Project

Python package for early warning signals (EWS) of bifurcations in time series data.

An Awesome List of Cognitive Science Resources

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)

Elephant is the Electrophysiology Analysis Toolkit

Automated 3D brain registration with support for multiple species and atlases.

An integrated framework in R for textual sentiment time series aggregation and prediction

Example of order book modeling.

Open Source Phasor Data Concentrator

Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`

Automated Time Series Forecasting

If you can measure it, consider it predicted

Time series implementation in Go

An OpenTSDB-like time series database, with much better performance.

Examples of Data Science projects and Artificial Intelligence use cases

Method container for computational neuroscience on brains.

The Arbor multi-compartment neural network simulation library.

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Reusable CNN and RNN model doing time series binary classification

Curate, visualize, annotate, and share your behavioral ephys data using Python

Bayesian Generalized Linear Models with Time-Varying Coefficients