Scalable Learning and Multi-Purpose AI Lab
Research Lab at Juelich Supercomputing Center (JSC), Helmholtz Research Center Juelich (FZJ). Studying large-scale, transferable deep learning.
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- open_clip_scaling Public
SLAMPAI/open_clip_scaling’s past year of commit activity - generative-models-for-highres-solar-images Public
A Comparative Study on Generative Models for High Resolution Extreme Ultraviolet Solar Images https://arxiv.org/abs/2304.07169
SLAMPAI/generative-models-for-highres-solar-images’s past year of commit activity - large-scale-pretraining-transfer Public
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)
SLAMPAI/large-scale-pretraining-transfer’s past year of commit activity - generalization-cellular-automata Public
Repository for the paper "Generalization over different cellular automata rules learned by a deep feed-forward neural network", https://arxiv.org/abs/2103.14886
SLAMPAI/generalization-cellular-automata’s past year of commit activity
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