Alternatives and similar repositories for Uncertainty-Mnist-with-Pytorch

Users that are interested in Uncertainty-Mnist-with-Pytorch are comparing it to the libraries listed below

• hutec / UncertaintyNN
  Implementation and evaluation of different approaches to get uncertainty in neural networks
  ☆140Updated 7 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 7 years ago
• AdamCobb / LCBNN
  ☆25Updated 2 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• lsgos / uncertainty-adversarial-paper
  Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'
  ☆61Updated 7 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆91Updated 7 years ago
• ykwon0407 / UQ_BNN
  Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
  ☆137Updated 5 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• fregu856 / evaluating_bdl
  Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
  ☆131Updated 5 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• mollymr305 / mnist-mc-dropout
  model uncertainty using mc dropout
  ☆20Updated 6 years ago
• kekeblom / DeepCGP
  Deep convolutional gaussian processes.
  ☆79Updated 5 years ago
• DIAGNijmegen / neural-odes-segmentation
  Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
  ☆110Updated 5 years ago
• vvanirudh / deep-ensembles-uncertainty
  My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
  ☆138Updated 7 years ago
• tanyanair / segmentation_uncertainty
  ☆84Updated 6 years ago
• gustavla / self-supervision
  Training and evaluating self-supervised deep neural networks
  ☆28Updated 7 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• raj-shah / BayesianCNN
  Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
  ☆36Updated 7 years ago
• jizongFox / deep-clustering-toolbox
  PyTorch Vision Toolbox not only for deep-clustering
  ☆30Updated 2 years ago
• AKuzina / DWP
  Pytorch implementation of the DWP with application to MRI segmentation
  ☆9Updated 5 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆62Updated 5 years ago
• orobix / Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch
  Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
  ☆93Updated 2 years ago
• mabirck / adaptative-dropout-pytorch
  Pytorch implementation of Adaptative Dropout a.ka Standout.
  ☆12Updated 7 years ago
• svenrdz / DFC-VAE
  Deep Feature Consistent Variational AutoEncoder (Pytorch)
  ☆13Updated 8 years ago
• dmilios / dirichletGPC
  ☆17Updated 6 years ago
• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆112Updated 6 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 6 years ago
• snakers4 / playing_with_vae
  Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
  ☆64Updated 7 years ago
• lanpa / tensorboard-pytorch-examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆83Updated 6 years ago