gluonts 开源项目推荐（16 个）

awslabs /sagemaker-deep-demand-forecast

Using Deep Learning for Demand Forecasting with Amazon SageMaker

IvanildoBatista /Series-Temporais

Projetos de modelagem e previsão de séries temporal em linguagem Python e linguagem R. Usarei vários modelos de bibliotecas e pacotes usados para tratamento, modelagem e previsão de séries temporais. Falarei um pouco sobre cada uma delas, gerarei a validação e as previsões e, por fim, realizarei a avaliação com a métricas pertinentes.

business-science /modeltime.gluonts

GluonTS Deep Learning with Modeltime

bits-bytes-nn /mofc-demand-forecast

Time Series Forecasting for the M5 Competition

business-science /gpu_accelerated_forecasting_modeltime_gluonts

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

dataiku /dss-plugin-timeseries-forecast

Dataiku DSS plugin to automate time series forecasting with Deep Learning and statistical models 📈

aws-samples /amazon-sagemaker-predict-electricity-demand-with-custom-gluonts-container

Learn how to train and evaluate time series models with the Gluon TS library, and then deploy them for inference as a Multi-Model Server SageMaker endpoint using a custom SageMaker container.

aws-samples /amazon-sagemaker-gluonts-entrypoint

Sample GluonTS entrypoint scripts for Amazon SageMaker.

Sanaxen /deepAR

multivariate time series

imehranasgari /DL_TimeSeries_Forecasting_GluonTS_DeepAR_ARIMA_yfinance

A project implementing and comparing deep learning models (RNN, LSTM, DeepAR) for stock price forecasting. Using TensorFlow, GluonTS, and Darts, this repo demonstrates advanced time series analysis, including probabilistic forecasting to predict MSFT stock data and visualize prediction uncertainty.

psycoplankton /Rupee-vs-Dollar-Time-Series-Forecasting

An autoregressive forecasting implementation of a LSTM network, NBEATS architecture, ARIMA and SARIMAX regressions, and Autoformer architecture on rupee dollar exchange rates using pytorch, pytorch lightning, pytorch-forecasting, and GluonTS

Kai-Ref /DeepAR_InfluenzaForecast

DeepAR implementation for seasonal influenza cases in German districts

jman4162 /deep-time-series-forecasting

Comprehensive guide to time series forecasting using deep learning techniques, with practical examples and tutorials.

forsing /TimeSeriesModels-3-DeepAR

3. DeepAR+ with Probabilistic Outputs (GluonTS + PyTorch). Hibridne arhitekture za predikciju koje kombinuju deep learning i klasične time-series modele.

OleksandrZadvornyi /weather-forecasting

A deep learning project for forecasting daily maximum temperatures (TMAX) using Time Series Transformers and GluonTS on historical Ukrainian weather data.

Samthedeveloper999 /Demand-Forecasting

📈 Generate accurate demand forecasts with Python using synthetic data, featuring ARIMA/SARIMA modeling, evaluation metrics, and reproducible visualizations.