This repository contains the pre-trained model weights for the TensorFlow/Keras models used in the Weather4cast 2021 Challenge IEEE Big Data Cup Stage by the team "antfugue". The model code can be found in https://github.com/jleinonen/weather4cast-bigdata along with instructions on where to extract the weights
This dataset includes pre-trained efficientNet-B0 network as well as models manually trained using a...
Nowadays, automation is at its peak. The article provides a base to examine the weather through the ...
Recent studies demonstrate that weather and climate predictions potentially improve by dynamically c...
In this repository you can find the weights of the models used in the paper "Deep Learning Approach ...
This dataset contains the pretrained model weights and precomputed results for the paper "Thundersto...
The coupled model weights file contains the necessary weights to the machine learning network to run...
RainNet is a convolutional deep neural network for precipitation nowcasting. This repository contai...
Trained network weights for the paper "Compositionally restricted attention-based network for materi...
Preprint submitted to Data Science for Natural Sciences Conference for Master Students of Data Scien...
BraTS 2020 winning submission (segmentation task). Paper here: https://arxiv.org/abs/2011.00848 Se...
This repository contains trained models for the multiftu segmentation pipeline. The initial trained ...
The dataset contains the submissions that have been evaluated in the Model Counting Competition 2020...
Pretrained model weights for the UDify model, and extracted BERT weights in pytorch-transformers for...
Model weights for the FD-Shifts benchmark for the iWildCam-2020-Wilds dataset, trained in OpenSet se...
Weights from https://github.com/naver-ai/pit Copyright 2021-present NAVER Corp. Rehosted here for ea...
This dataset includes pre-trained efficientNet-B0 network as well as models manually trained using a...
Nowadays, automation is at its peak. The article provides a base to examine the weather through the ...
Recent studies demonstrate that weather and climate predictions potentially improve by dynamically c...
In this repository you can find the weights of the models used in the paper "Deep Learning Approach ...
This dataset contains the pretrained model weights and precomputed results for the paper "Thundersto...
The coupled model weights file contains the necessary weights to the machine learning network to run...
RainNet is a convolutional deep neural network for precipitation nowcasting. This repository contai...
Trained network weights for the paper "Compositionally restricted attention-based network for materi...
Preprint submitted to Data Science for Natural Sciences Conference for Master Students of Data Scien...
BraTS 2020 winning submission (segmentation task). Paper here: https://arxiv.org/abs/2011.00848 Se...
This repository contains trained models for the multiftu segmentation pipeline. The initial trained ...
The dataset contains the submissions that have been evaluated in the Model Counting Competition 2020...
Pretrained model weights for the UDify model, and extracted BERT weights in pytorch-transformers for...
Model weights for the FD-Shifts benchmark for the iWildCam-2020-Wilds dataset, trained in OpenSet se...
Weights from https://github.com/naver-ai/pit Copyright 2021-present NAVER Corp. Rehosted here for ea...
This dataset includes pre-trained efficientNet-B0 network as well as models manually trained using a...
Nowadays, automation is at its peak. The article provides a base to examine the weather through the ...
Recent studies demonstrate that weather and climate predictions potentially improve by dynamically c...
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