Implementation of the Aurora model for Earth system forecasting
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Updated
Dec 24, 2024 - Python
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
Multi-label-binary-classification model for multi-label-weather-prediction problem
The aim of this project to see to do the prediction of the weather using the different types of machine learning model.
بناء شبكة عصبونية باستخدام مكتبة بايتورش PyTorch
WeatherVista: Your weather, your way. Enjoy a seamless experience with responsive design, dynamic weather icons, and detailed forecasts. Get today's highlights at a glance, and easily search for global weather updates. WeatherVista: Accurate, immersive, and effortlessly intuitive.
Weather Prediction Application - Using a IoT device and past data this application predicts future weather
Forecast surface temperature based primarily on latitude, longitude, day of year and hour of day in less than 200 lines of python
Collection of Code for ML algorithms and other stuff in the RP Rainfall Extremes in CLEX
Nothing strengthens better your knowledge in Deep Learning than coding an actual model and application. Take the 5 week challenge with Robert, David and George and join us each Friday for a fun and engaging hands-on coding session using TensorFlow 🎉
This is a weather prediction app using React
This web application displays the weather forecast for any place around the world alongwith gives the weather details at the current location of user with just a tap of a button.
Weather prediction with Gaussian Process Regression
In this project I used past three years data of climate having key attributes like rainfall, wind speed, direction, temperature etc and predict calamity on the basis of these key attributes for next year three years using logestic regression technique and also perform descriptive data analysis.
Projects reflecting my skills in data science and machine learning
This is the main repo of the XploreLanka project
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