Alternatives and similar repositories for ece_loss

Users that are interested in ece_loss are comparing it to the libraries listed below

• simongraham / dsf-cnn
  Dense Steerable Filter CNN
  ☆77Updated 3 years ago
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆67Updated 5 years ago
• evanmy / sae
  Accepted in MIDL 2020
  ☆32Updated 4 years ago
• B-cos / B-cos-v2
  Official PyTorch implementation of improved B-cos models
  ☆55Updated last month
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆91Updated last year
• jenspetersen / probabilistic-unet
  A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth
  ☆43Updated 6 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 3 years ago
• ArantxaCasanova / ralis
  Code for the paper "Reinforced Active Learning for Image Segmentation"
  ☆103Updated 5 years ago
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆64Updated last year
• IML-DKFZ / values
  A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
  ☆31Updated last year
• mlaves / well-calibrated-regression-uncertainty
  Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
  ☆31Updated 4 years ago
• ExplainableML / BayesCap
  (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
  ☆51Updated 3 years ago
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆35Updated last year
• waliens / multitask-dipath
  Implementation of PyTorch-based multi-task pre-trained models
  ☆33Updated 5 years ago
• tueimage / SE2CNN
  ☆68Updated 6 years ago
• DIAGNijmegen / neural-odes-segmentation
  Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
  ☆113Updated 5 years ago
• yding5 / AdaptiveBinning
  Adaptive-binning for evaluation of confidence calibration
  ☆12Updated 6 years ago
• SteffenCzolbe / probabilistic_segmentation
  ☆24Updated 4 years ago
• RobinBruegger / RevTorch
  Framework for creating (partially) reversible neural networks with PyTorch
  ☆155Updated 3 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• seung-lab / torchfields
  A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers
  ☆51Updated 3 years ago
• Lightning-Universe / paper-AAVAE
  ☆47Updated 3 years ago
• nerdslab / myow
  PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
  ☆31Updated 4 years ago
• IssamLaradji / covid19_weak_supervision
  WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
  ☆40Updated last year
• 4uiiurz1 / pytorch-lars
  PyTorch implementation of LARS (Layer-wise Adaptive Rate Scaling)
  ☆19Updated 6 years ago
• kreshuklab / spoco
  PyTorch implementation of SPOCO
  ☆32Updated last year
• ml-jku / MAE-CT
  ☆32Updated last year
• ZerojumpLine / OverfittingUnderClassImbalance
  [MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.
  ☆22Updated 2 years ago
• idiap / attention-sampling
  This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…
  ☆98Updated 6 years ago
• srebuffi / semisup_scarse
  PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf
  ☆13Updated 6 years ago