Implementation of the Aurora model for Earth system forecasting

ML project to predict weather condition in given image

Implementation of the paper: "Aurora: A Foundation Model of the Atmosphere" in PyTorch

Multi-label-binary-classification model for multi-label-weather-prediction problem

A Flask-based web application for a smart weather station with an XGBoost machine learning model for weather condition prediction.

A Python Web App to Predict Weather

A deep learning model for 1-month prediction of the Boreal Summer Intraseasonal Oscillation (BSISO).

Wrapper for the YR.no API, for near time weather prediction.

This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month

🌦️ Deep Learning RNN Project: Predict Seattle's Weather with LSTM 🌡️

Проект предназначен для предсказания погоды по месяцам на основе данных предыдущих лет в интерфейсе, обеспечивающем обучение модели, настройку параметров и выбор года предсказания.

Contains a collection of foundational AI practical programs implemented in Python and Prolog. It covers key AI concepts like search algorithms (BFS, DFS, A\*), game solving (Eight Puzzle, Tower of Hanoi, Tic Tac Toe), and knowledge-based systems. Ideal for academic use, it serves as a hands-on reference.

Advanced time series forecasting with transformer architectures that can predict complex patterns across multiple horizons with uncertainty quantification.

In this repository, I’ve built a Python program that predicts temperature trends using real historical data from the Daily Delhi Climate dataset.

Проект предназначен для предсказания погоды по месяцам на основе данных предыдущих лет в интерфейсе, обеспечивающем обучение модели, настройку параметров и выбор года предсказания.