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MLI-lab

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221
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Registered about 5 years ago
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Python
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Location 🇩🇪 Germany
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Jupyter Notebook
117

Python
8,336

ConvDecoder

An un-trained neural network with a potential application in accelerated MRI

Jupyter Notebook

Robustness-CS

Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.

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DeepDeWedge

Self-supervised deep learning for denoising and missing wedge reconstruction of cryo-ET tomograms

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cs_deep_decoder

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transformers_for_imaging

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early_stopping_double_descent

Code for reproducing figures and results in the paper ``Early stopping in deep networks: Double descent and how to eliminate it''

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overparameterized_convolutional_generators

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ttt_for_deep_learning_cs

Jupyter Notebook

deep_inverse_book.github.io

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imaging_MLPs

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noisy_dna_data_storage

Data recovery from millions of noisy reads

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cinemri

Python

sample_complexity_ss_recon

Jupyter Notebook

recalibrating_conformal_prediction

QTC: Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples

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candidate_training

Reproducible version of the experiments in "Leveraging inductive bias of neural networks for learning without explicit human annotations"

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robust_reconstructors_via_jittering

Python

regularization_based_continual_learning

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Scaling_Laws_For_Deep_Learning_Based_Image_Reconstruction

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monotonic_risk_relationships

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channel_normalization

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imagenet_candidate_training

Training on noisy Flickr labels without annotators for better classification performance in ImageNet classification problem.

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