398 Open source projects that are alternatives of or similar to Kshape

Python module for machine learning time series:

Bayesian Generalized Linear Models with Time-Varying Coefficients

Realtime animated graphs with PubNub and C3.

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

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

Forecast time series and stock prices with SCINet

Implementation of soft dynamic time warping in pytorch

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

Python implementation of Empirical Mode Decompoisition (EMD) method

Code examples for pyFTS

scikit-learn-inspired time series

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.

🌊 Numerically solving and backpropagating through the wave equation

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

TSrepr: R package for time series representations

LSTM Mobility Model implementation using Tensorflow

Fast and flexible Gaussian Process regression in Python

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

A Time Series Data Browser

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

A python library for Bayesian time series modeling

Official code for UnICORNN (ICML 2021)

JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily

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

A toolkit for working with time series in R

Functions for easily making publication-quality figures with matplotlib.

Extending broom for time series forecasting

Predict time-series with one line of code.

Low-latency algorithmic trading platform written in Rust

Probably the best curated list of data science books in Python

A Python library for time series forecasting

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

Accumulo backed time series database

Data visualization tool for wikis evolution

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

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

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Examples of Data Science projects and Artificial Intelligence use cases

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

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

Distributable time-series database (not actively maintained)

⏰ 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…

Anomaly detection for streaming time series, featuring automated model selection.

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

DeltaPy - Tabular Data Augmentation (by @firmai)

PyTorch implementation of TSception

Real-time analysis of bitcoin markets with Kafka and Tensorflow Serving

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

AtsPy: Automated Time Series Models in Python (by @firmai)

⏰📊✨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 plugin-driven server agent for collecting & reporting metrics.

Axibase Time Series Database: Usage Examples and Research Articles

An open-source library of algorithms to analyse time series in GPU and CPU.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Code for Java Deep Learning Cookbook

Implementation of time series compression method from the Facebook's Gorilla paper

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

RNN based Time-series Anomaly detector model implemented in Pytorch.

Imputation of Financial Time Series with Missing Values and/or Outliers