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TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
A demonstration application for LSTM based time series forecasting with NOAA temperature data. Dataset organized with MongoDB, model performance analyzed with SQL (MySQL), REST API created with FastAPI, and application containerized with Docker
Analise dos retornos da companhia aerea LATAM na bolsa chilena usando series temporais . Esse trabalho é o projeto final da disciplina ME607-Series Temporais na UNICAMP