timegan-pytorchThis repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
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WikiChronData visualization tool for wikis evolution
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pyRiemannPython 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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ticktockAn OpenTSDB-like time series database, with much better performance.
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unicornnOfficial code for UnICORNN (ICML 2021)
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AI4Waterframework for developing machine (and deep) learning models for structured data
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dbnRGaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
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timemachinesPredict time-series with one line of code.
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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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AC-VRNNPyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
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ewstoolsPython package for early warning signals (EWS) of bifurcations in time series data.
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mtss-ganMTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
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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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micropredictionIf you can measure it, consider it predicted
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wv⏰ 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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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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TSceptionPyTorch implementation of TSception
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Soft-DTW-LossPyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
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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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NetdataReal-time performance monitoring, done right! https://www.netdata.cloud
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Ml sagemaker studiesCase studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
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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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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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mf-nav-dataHistorical NAV/price/time-series data of mutual funds and popular benchmark indices in India
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sentometricsAn integrated framework in R for textual sentiment time series aggregation and prediction
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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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openPDCOpen Source Phasor Data Concentrator
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AutoTSAutomated Time Series Forecasting
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SCINetForecast time series and stock prices with SCINet
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greycatGreyCat - Data Analytics, Temporal data, What-if, Live machine learning
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spring-petclinic-cloudFork of the Spring Cloud Microservices project packaged to be deployed on several Cloud platforms: Kubernetes and Cloud Foundry
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DTWDynamic Time Warping in Python / C (using ctypes)
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obj2usdz🦖 obj2usdz, convert .OBJ files to .USDZ on iOS
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mshwfsModal Shack-Hartmann wavefront sensor toolbox for MATLAB
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ForestCoverChangeDetecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery
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PlotTwistPlotTwist - a web app for plotting and annotating time-series data
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gorillaAn effective time-series data compression/decompression method based on Facebook's Gorilla.
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pytorch-timeseriesPyTorch implementations of neural networks for timeseries classification
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query-selectorLONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
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walkerBayesian Generalized Linear Models with Time-Varying Coefficients
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CoronaDashCOVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
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zestdbZestDB
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notebooksCode examples for pyFTS
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mlforecastScalable machine 🤖 learning for time series forecasting.
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cnn-rnn-bitcoinReusable CNN and RNN model doing time series binary classification
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Shapley regressionsStatistical inference on machine learning or general non-parametric models
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renewcastRenewcast: Forecasting Renewable Electricity Generation in EU Countries.
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data-viz-utilsFunctions for easily making publication-quality figures with matplotlib.
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