Pinned Repositories
megatron
Previsão de curtíssimo prazo (Nowcast) apenas com os dados de uma estação utilizando Rede Neural Convolucional Recorrente
ai_storm
Model focused on storm analysis using deep residual convolutional neural network, with input data from the goes-16 satellite IR,GLM.
Cusor-ML-para-Meteorologia-2020-04-20
Repositório para auxilio do curso de Machine Learning Aplicado a Meteorologia
NEvolution
Neuroevolution gradient free optimizer, for Tensorflow-Keras models work with fixe topology and custom metrics. True random nunber generate by accelerometer for mutations
SphereDA
SphereDA is a neural network-based data assimilation system designed to initialize numerical weather prediction models. It processes meteorological observations from multiple formats and combines them with model first-guess fields using deep learning techniques to generate 'optimal' initial conditions for forecasting.
otaviomf123's Repositories
otaviomf123/ai_storm
Model focused on storm analysis using deep residual convolutional neural network, with input data from the goes-16 satellite IR,GLM.
otaviomf123/Cusor-ML-para-Meteorologia-2020-04-20
Repositório para auxilio do curso de Machine Learning Aplicado a Meteorologia
otaviomf123/NEvolution
Neuroevolution gradient free optimizer, for Tensorflow-Keras models work with fixe topology and custom metrics. True random nunber generate by accelerometer for mutations
otaviomf123/SphereDA
SphereDA is a neural network-based data assimilation system designed to initialize numerical weather prediction models. It processes meteorological observations from multiple formats and combines them with model first-guess fields using deep learning techniques to generate 'optimal' initial conditions for forecasting.