awesome-time-seriesResources for working with time series and sequence data
Stars: ✭ 178 (+535.71%)
Mutual labels: time-series, time-series-forecasting
awesome-energy-forecastinglist of papers, code, and other resources
Stars: ✭ 31 (+10.71%)
Mutual labels: renewable-energy, time-series-forecasting
CoronaDashCOVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
Stars: ✭ 20 (-28.57%)
Mutual labels: time-series, time-series-forecasting
orderbook modelingExample of order book modeling.
Stars: ✭ 38 (+35.71%)
Mutual labels: time-series, time-series-forecasting
dtsA Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+364.29%)
Mutual labels: time-series, time-series-forecasting
PycaretAn open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+16307.14%)
Mutual labels: time-series, pycaret
Gluon TsProbabilistic time series modeling in Python
Stars: ✭ 2,373 (+8375%)
Mutual labels: time-series, time-series-forecasting
3D-PV-LocatorRepo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.
Stars: ✭ 35 (+25%)
Mutual labels: renewable-energy
greycatGreyCat - Data Analytics, Temporal data, What-if, Live machine learning
Stars: ✭ 104 (+271.43%)
Mutual labels: time-series
wavefront-proxyWavefront Proxy Project
Stars: ✭ 45 (+60.71%)
Mutual labels: time-series
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.
Stars: ✭ 72 (+157.14%)
Mutual labels: time-series
MarketData.jlTime series market data
Stars: ✭ 118 (+321.43%)
Mutual labels: time-series
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
Stars: ✭ 80 (+185.71%)
Mutual labels: time-series
data-viz-utilsFunctions for easily making publication-quality figures with matplotlib.
Stars: ✭ 16 (-42.86%)
Mutual labels: time-series
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.
Stars: ✭ 83 (+196.43%)
Mutual labels: time-series
timemachinesPredict time-series with one line of code.
Stars: ✭ 342 (+1121.43%)
Mutual labels: time-series
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.
Stars: ✭ 27 (-3.57%)
Mutual labels: time-series
sknifedatarsknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.
Stars: ✭ 30 (+7.14%)
Mutual labels: time-series
Prediction-using-Bayesian-Neural-NetworkPrediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.
Stars: ✭ 28 (+0%)
Mutual labels: time-series
pytorch-timeseriesPyTorch implementations of neural networks for timeseries classification
Stars: ✭ 76 (+171.43%)
Mutual labels: time-series
