Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
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Updated
Nov 16, 2023 - Python
Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
A spherical CNN for weather forecasting
AI Challenger 2018 Weather Forecasting - 1st Place Solution
Implementation of Convolutional Encoder Decoder Network for short term (0 - 2 hours) weather forecasting.
Zeus Subnet leverages AI to forecast environmental variables using real-time global data. It incentivizes innovation in climate science by enabling miners and validators to develop and evolve efficient, decentralized prediction models.
The weather forecast system involves pyqt5 + crawler + SQLite database operation.
Climate Modeling with Neural Advection-Diffusion Equation, Springer KAIS
thermofeel is a library to calculate human thermal comfort indexes. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000176
This project is intended to collect the data of weather for a location say Reston and store it in json file. It uses AccuWeather API to get the weather data. It can forecast the data for next five days or can get the current weather data of the specified location.
A flexible PyTorch Lightning framework for climate forecasting, featuring a customizable, knowledge-aligned latent diffusion model for high-resolution predictions.
Weather forecasting experiments with Graph Neural Networks on ERA5 data. Models the global atmosphere as a spatio-temporal product graph, introducing scalability via SIGN and enforcing physical realism through a kinetic energy–based loss.
A weather forecasting web app that provides real-time weather updates, temperature, humidity, and location-based forecasts using OpenWeatherMap API with an intuitive, responsive interface.
How close can LoRA get to full fine-tuning (FullFT) in terms of learning speed, performance, and compute tradeoffs? And under what conditions?
🌦️ Previsão de temperatura utilizando PyTorch e Visão Computacional para analisar imagens de satélite. O projeto inclui um dashboard interativo com Streamlit.
An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
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