Implementation of the Aurora model for Earth system forecasting

ML project to predict weather condition in given image

Machine Learning Project for classifying Weather into ThunderStorm (0001) , Rainy(0010) , Foggy (0100) , Sunny(1000) and also predict weather features for next one year after training on 20 years data on a neural network This is my first Machine Learning Project. Steps To run the project: Extract the files into a single directory ( say "MyWeathe…

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

A Python Web App to Predict Weather

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

AI weather intelligence platform with LSTM neural networks for time-series prediction

API endpoints for ML models

Neural Network built from scratch using NumPy for Rainfall Prediction. Educational deep-dive into backpropagation and gradient descent.

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

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

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

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

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

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

Weather prediction project combining Python ML, Go API, and React frontend.

Machine Learning Weather Prediction App using Python, Scikit-learn and Streamlit with real-time geocoding.

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

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.