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Top 406 time-series open source projects

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.

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Jupyter Notebook machine-learning deep-neural-networks timeseries deep-learning time-series forecasting multivariate ecg-signal sensors forecasting-models time-series-analysis auto-ml interpretable-ai explainable-ml siamese-neural-network auto-timeseries nowcasting-models

sknifedatar

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

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r data-science data statistics time-series data-visualization forecasting data-analysis

ticktock

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

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C++c python shell database time-series opentsdb tsdb time-series-database ticktock

LSTM-Mobility-Model

LSTM Mobility Model implementation using Tensorflow

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python deep-learning time-series tensorflow transportation jupyter-notebook lstm sequence mobility-trajectory mobility-modeling

msda

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

greycat

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

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java javascript SCSS typescript CSS HTML nodejs machine-learning node time-series machine-learning-algorithms bigdata data-analytics data-analysis graph-database distributed-database machine-learning-library temporal greycat

timegan-pytorch

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

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Jupyter Notebook python shell deep-learning time-series pytorch generative-adversarial-network hacktoberfest

Prediction-using-Bayesian-Neural-Network

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

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matlab TeX time-series neural-networks object-tracking prediction-algorithm

pytorch-timeseries

PyTorch implementations of neural networks for timeseries classification

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python machine-learning deep-learning time-series pytorch classification

unicornn

Official code for UnICORNN (ICML 2021)

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python deep-learning time-series cuda imdb pytorch recurrent-neural-networks icml sequential-mnist icml-2021

CoronaDash

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

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r time-series shiny clustering forecasting rstats epidemics cluster-analysis shinydashboard time-series-analysis time-series-clustering time-series-forecasting forecasting-model coronavirus coronavirus-tracking epidemic-data covid-19 covid-virus forecasting-covid-19

Soft-DTW-Loss

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

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python deep-neural-networks deep-learning time-series dtw cuda pytorch dynamic-time-warping soft-dtw loss-function

MarketData.jl

Time series market data

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julia time-series financial-data

data-viz-utils

Functions for easily making publication-quality figures with matplotlib.

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Jupyter Notebook python legend data-science big-data time-series eda data-visualization data-analysis matplotlib scatterplot

wavefront-proxy

Wavefront Proxy Project

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java python shell monitoring time-series metrics wavefront

timemachines

Predict time-series with one line of code.

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python timeseries time-series prediction predictions predictive-modeling prediction-algorithm time-series-analysis timeseries-data timeseries-analysis timeseries-forecasting

Awesome-Human-Activity-Recognition

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.

awesome-Python-data-science-books

Probably the best curated list of data science books in Python

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data-science machine-learning data-mining programming books deep-learning time-series data-analysis awesome-list

sentometrics

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

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r C++nlp text-mining time-series sentiment-analysis prediction

AC-VRNN

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

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python time-series surveillance recurrent-neural-networks generative-model variational-autoencoder trajectory-prediction graph-attention-networks graph-neural-networks

openPDC

Open Source Phasor Data Concentrator

WikiChron

Data visualization tool for wikis evolution

AutoTS

Automated Time Series Forecasting

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python machine-learning deep-learning time-series forecasting preprocessing feature-engineering automl autots

mtss-gan

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

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finance time-series simulation generative-adversarial-network stress-test similarity-measures multivariate-data model-validation synthetic-data multivariate-timeseries synthetic-dataset-generation adverserial

go-time-series

Time series implementation in Go

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go data-structure time-series in-memory

DataScience ArtificialIntelligence Utils

Examples of Data Science projects and Artificial Intelligence use cases

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Jupyter Notebook python data-science machine-learning natural-language-processing reinforcement-learning computer-vision deep-learning time-series examples regression data-visualization artificial-intelligence classification explainable-ai explainable-ml

covid19-time-series-utilities

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

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shell PLpgSQL Dockerfile opensource time-series opendata covid-19

sktime-tutorial-pydata-amsterdam-2020

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

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Jupyter Notebook python machine-learning time-series scikit-learn pydata tutorials sktime

pyRiemann

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

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python machine-learning statistics time-series signal-processing neuroscience eeg brain-computer-interface covariance-matrices riemannian-geometry

⏰ 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…

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r C++c time-series signal-processing wavelet-variance

ForestCoverChange

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

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python javascript Jupyter Notebook shell machine-learning time-series forest pytorch gru forecasting classification segmentation deeplearning sequence-to-sequence computervision

AI4Water

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

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python machine-learning deep-learning time-series tabular-data

gorilla

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

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go compression time-series decompression

TSception

PyTorch implementation of TSception

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python deep-learning time-series eeg emotion-recognition

query-selector

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

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python machine-learning deep-learning time-series pytorch transformer forecasting self-attention

dbnR

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

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r C++Jupyter Notebook time-series inference forecasting bayesian-networks dynamic-bayesian-networks

time-series-annotator

Time series annotation library.

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javascript CSS time-series annotation medical-imaging crowdcurio

laravel-quasar

⏰📊✨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.

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