Alternatives and similar repositories for Morpho-MNIST

Users that are interested in Morpho-MNIST are comparing it to the libraries listed below

• ykwon0407 / UQ_BNN
  Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
  ☆137Updated 6 years ago
• CherBass / ICAM
  ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
  ☆54Updated 3 years ago
• JakobHavtorn / hvae-oodd
  Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
  ☆31Updated 3 years ago
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆66Updated 5 years ago
• QingyuZhao / BR-Net
  ☆46Updated 5 years ago
• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆83Updated 2 years ago
• biomedia-mira / deepscm
  Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
  ☆288Updated 2 years ago
• IntelLabs / AVUC
  Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
  ☆55Updated 2 years ago
• melanibe / failure_detection_benchmark
  Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…
  ☆21Updated 2 years ago
• jcreinhold / counterfactualms
  counterfactuals for magnetic resonance images of multiple sclerosis
  ☆26Updated 4 years ago
• jenspetersen / probabilistic-unet
  A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth
  ☆43Updated 6 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆105Updated 5 years ago
• sumanabasu / Early-Prediction-of-Alzheimer-s-Disease-Progression-Using-Variational-Autoencoders-MICCAI-2019
  Predicts progression of Alzheimer's from MRI
  ☆14Updated 3 years ago
• KaosEngineer / PriorNetworks
  ☆66Updated 5 years ago
• simongraham / dsf-cnn
  Dense Steerable Filter CNN
  ☆77Updated 2 years ago
• tueimage / SE2CNN
  ☆68Updated 6 years ago
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆93Updated 4 years ago
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆34Updated last year
• DIAGNijmegen / neural-odes-segmentation
  Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
  ☆112Updated 5 years ago
• batmanlab / Explanation_by_Progressive_Exaggeration
  Explanation by Progressive Exaggeration
  ☆20Updated 2 years ago
• laurahanu / 2D-and-3D-Deep-Autoencoder
  Convolutional AutoEncoder application on MRI images
  ☆77Updated 8 years ago
• tanyanair / segmentation_uncertainty
  ☆84Updated 7 years ago
• mlaves / well-calibrated-regression-uncertainty
  Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
  ☆31Updated 4 years ago
• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆63Updated 7 months ago
• evanmy / sae
  Accepted in MIDL 2020
  ☆32Updated 4 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 4 years ago
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆64Updated last year
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆272Updated 3 years ago
• thibsej / unbalanced-ot-functionals
  It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…
  ☆31Updated 2 years ago
• mlmed / gifsplanation
  Gifsplanation - Explaining neural networks with gifs!
  ☆27Updated last year