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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 📈
Sample GluonTS entrypoint scripts for Amazon SageMaker.
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.
DeepAR implementation for seasonal influenza cases in German districts
An autoregressive forecasting implementation of a LSTM network, NBEATS architecture 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.