Deep XFPackage 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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mf-nav-dataHistorical NAV/price/time-series data of mutual funds and popular benchmark indices in India
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timegan-pytorchThis repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
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ticktockAn OpenTSDB-like time series database, with much better performance.
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CoronaDashCOVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
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PlotTwistPlotTwist - a web app for plotting and annotating time-series data
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sentometricsAn integrated framework in R for textual sentiment time series aggregation and prediction
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AutoTSAutomated Time Series Forecasting
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skillful nowcastingImplementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954
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DTWDynamic Time Warping in Python / C (using ctypes)
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msdaLibrary 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
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DeepEchoSynthetic Data Generation for mixed-type, multivariate time series.
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pytorch-timeseriesPyTorch implementations of neural networks for timeseries classification
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walkerBayesian Generalized Linear Models with Time-Varying Coefficients
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IMCtermiteEnables extraction of measurement data from binary files with extension 'raw' used by proprietary software imcFAMOS/imcSTUDIO and facilitates its storage in open source file formats
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Awesome-Human-Activity-RecognitionAn 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.
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SCINetForecast time series and stock prices with SCINet
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openPDCOpen Source Phasor Data Concentrator
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ww tvol studyProcess global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
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notebooksCode examples for pyFTS
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mlforecastScalable machine 🤖 learning for time series forecasting.
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sknifedatarsknifedatar 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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cnn-rnn-bitcoinReusable CNN and RNN model doing time series binary classification
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greycatGreyCat - Data Analytics, Temporal data, What-if, Live machine learning
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pmtsPoor man's time series functionality for PostgreSQL
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Prediction-using-Bayesian-Neural-NetworkPrediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.
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micropredictionIf you can measure it, consider it predicted
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unicornnOfficial code for UnICORNN (ICML 2021)
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forecasting modelsAn overview of univariate time series forecasting models with sample code.
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Soft-DTW-LossPyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
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Shapley regressionsStatistical inference on machine learning or general non-parametric models
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data-viz-utilsFunctions for easily making publication-quality figures with matplotlib.
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sysidentpyA Python Package For System Identification Using NARMAX Models
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timemachinesPredict time-series with one line of code.
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ewstoolsPython package for early warning signals (EWS) of bifurcations in time series data.
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gold-price-analysisCreating a model to analyze and predict the trend of the prices of gold.
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AC-VRNNPyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
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WikiChronData visualization tool for wikis evolution
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mtss-ganMTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
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renewcastRenewcast: Forecasting Renewable Electricity Generation in EU Countries.
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fastverseAn Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
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tempoAPI for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
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tsfusePython package for automatically constructing features from multiple time series
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Time-Series-ForecastingRainfall 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.
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