This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

Concise style weather forecasting.

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

A combined LSTM and LightGBM framework for improving deterministic and probabilistic wind energy forecasting

Runner-up team (2nd place) in AI4VN2022: Air Quality Forcasting Challenge

In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.

[TOIS] "Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning"

StockLLM: A Stock Analyzer with Comprehensive LLM Insights

weatheril is an unofficial [IMS](https://ims.gov.il) (Israel Meteorological Service) python API wrapper.

Scripts to build and run WRF and WPS in docker

Description of The coffee market and Arabica commodity price forecasting

Weather forcast application using 7times api

A simple approach to earthquake forecasting

Bitcoin-Stock-price-prediction-with-Time-series-FBprophet- Time Series Analysis in Python

An implementation of AE LSTM based. We test our architecture on several tasks as reconstructing synthetic time series, s&p 500 stocks, and forecasting s&p 500 stocks based on the decoded information (also known as latent space) features we extract from the AE

WordPress plugin providing a widget to display real-time forecast for any location in Portugal (mainland and archipelagos) in a WordPress website

This project focuses on time series forecasting of air quality data using the Facebook Prophet algorithm.