Concise style weather forecasting.

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

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

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.

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

Weather forcast application using 7times api

Description of The coffee market and Arabica commodity price forecasting

A simple approach to earthquake forecasting

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

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

Forecasting SARS-CoV-2 Next Wave in Iran and the World Using TSK Fuzzy Neural Networks

This repository holds the project Food Products Sales Forecasting which includes data preparation, data visualization, and forecasting for sales of food products.

Bu projede TUİK ve Konya Belediye Açık Veri Platformundan alınan verilerle yapılmış 3 ayrı çalışma bulunmaktadır.

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

AAAI 2021: A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting