Implementation of the Aurora model for Earth system forecasting
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Updated
Oct 20, 2025 - Python
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.
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