Alternatives and similar repositories for UA

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

• IntelLabs / AVUC
  Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
  ☆55Updated 2 years ago
• capybaralet / REx_code_release
  ☆63Updated 4 years ago
• pokaxpoka / RoGNoisyLabel
  Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".
  ☆33Updated 5 years ago
• Kamnitsask / ssl_compact_clustering
  Semi-supervised learning via Compact Latent Space Clustering
  ☆49Updated 5 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆56Updated 6 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 4 years ago
• perrying / realistic-ssl-evaluation-pytorch
  Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
  ☆80Updated 5 years ago
• tjoo512 / belief-matching-framework
  Belief matching framework official implementation
  ☆40Updated 2 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆35Updated 4 years ago
• rpinsler / active-bayesian-coresets
  ☆40Updated 5 years ago
• zhouyiji / MIGE
  Mutual Information Gradient Estimation
  ☆12Updated 3 years ago
• KaosEngineer / PriorNetworks-OLD
  ☆42Updated 6 years ago
• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆73Updated 5 years ago
• haebeom-lee / maml
  MAML implementation (tensorflow)
  ☆14Updated 6 years ago
• biomedia-mira / masf
  Domain Generalization via Model-Agnostic Learning of Semantic Features
  ☆148Updated 2 years ago
• JunwenBai / MPVAE
  MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification
  ☆31Updated 7 months ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago
• ykwon0407 / UQ_BNN
  Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
  ☆137Updated 5 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆72Updated 4 years ago
• geifmany / uncertainty_ICLR
  Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019
  ☆13Updated 6 years ago
• indy-lab / ProtoTransfer
  Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
  ☆51Updated 3 years ago
• KaosEngineer / PriorNetworks
  ☆66Updated 5 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 4 years ago
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆74Updated 3 years ago
• zzzace2000 / FIDO-saliency
  Explaining Image Classifiers by Counterfactual Generation
  ☆28Updated 3 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆87Updated 4 months ago
• microsoft / Domain-Adaptation-with-Conditional-Distribution-Matching-and-Generalized-Label-Shift
  Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
  ☆37Updated 4 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆88Updated 5 years ago
• IirisSundin / active-learning-for-decision-making
  This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…
  ☆11Updated 6 years ago
• henrikmarklund / arm
  ☆83Updated last year