JakobCode

deep_learning_basics_pytorch

dpn_rs

Implementations for "An Advanced Dirichlet Prior Network for Out-of-Distribution Detection in Remote Sensing"

explaining_cloud_effects

This repository comes a along with the paper Explaining the Effects of Clouds on Remote Sensing Scene Classification published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

hyperdimensionalCD

large-scale-pretraining-transfer

Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)

OOD_DataFusion

SMIL

Pytorch implementation of SMIL: Multimodal Learning with Severely Missing Modality (AAAI 2021)

StructuringSSNs

UncertaintyInNeuralNetworks_Resources

lightning-uq-box

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

JakobCode/UncertaintyInNeuralNetworks_Resources

JakobCode/explaining_cloud_effects

This repository comes a along with the paper Explaining the Effects of Clouds on Remote Sensing Scene Classification published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

JakobCode/StructuringSSNs

JakobCode/dpn_rs

Implementations for "An Advanced Dirichlet Prior Network for Out-of-Distribution Detection in Remote Sensing"

JakobCode/OOD_DataFusion

JakobCode/hyperdimensionalCD

JakobCode/large-scale-pretraining-transfer

Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)

JakobCode/SMIL

Pytorch implementation of SMIL: Multimodal Learning with Severely Missing Modality (AAAI 2021)