Using Deep Learning for Demand Forecasting with Amazon SageMaker

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.

Time Series Forecasting for the M5 Competition

GluonTS Deep Learning with Modeltime

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

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

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.

Sample GluonTS entrypoint scripts for Amazon SageMaker.

multivariate time series

DeepAR implementation for seasonal influenza cases in German districts

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

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