405 Open source projects that are alternatives of or similar to Soft-DTW-Loss

A machine learning toolkit dedicated to time-series data

Dynamic Time Warping in Python / C (using ctypes)

Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch using Numba

Quantify the difference between two arbitrary curves in space

A fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.

playing idealized trading games with deep reinforcement learning

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

Scalable Time Series Data Analytics

An intuitive library to extract features from time series

Automated Time Series Forecasting

An effective time-series data compression/decompression method based on Facebook's Gorilla.

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

list of papers, code, and other resources

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

The Most Advanced Time Series Platform

Open Source Phasor Data Concentrator

High-performance time-series aggregation for PostgreSQL

Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery

Time series features

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.

Miami InSAR time-series software in Python

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

Extensible time series class that provides uniform handling of many R time series classes by extending zoo.

Training Diary

Time series implementation in Go

Time series annotation library.

Loud ML is the first open-source AI solution for ICT and IoT automation

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

several utilities to help wrangle COVID-19 data into a time-series format

A friendly package for Kepler & TESS time series analysis in Python.

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

An open-source big data platform designed and optimized for the Internet of Things (IoT).

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

Time Series Metrics Engine based on Cassandra

Predict time-series with one line of code.

A full featured Generic SNMP data collector with Web Administration Interface for InfluxDB

⏰ This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual an…

Archived incubation repo for InfluxDB 2.0

Data visualization tool for wikis evolution

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

framework for developing machine (and deep) learning models for structured data

🚂 Python API for Emma's Markov Model Algorithms 🚂

Functions for easily making publication-quality figures with matplotlib.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

PyTorch implementation of TSception

Modeltime unlocks time series forecast models and machine learning in one framework

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

Downsample plugin for Flot charts.

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

R Package for Time Series Clustering Along with Optimizations for DTW

Probably the best curated list of data science books in Python

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

⏰📊✨Laravel Time Series - Provides an API to create and maintain data projections (statistics, aggregates, etc.) from your Eloquent models, and convert them to time series.

The Time Series Visualization Tool that you deserve.

Advanced and Fast Data Transformation in R

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

ZestDB

A Python package for time series augmentation

Anomaly detection for temporal data using LSTMs

Real-time performance monitoring, done right! https://www.netdata.cloud