Alternatives and similar repositories for Learning-Loss-for-Active-Learning

Users that are interested in Learning-Loss-for-Active-Learning are comparing it to the libraries listed below

• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆106Updated 2 years ago
• osimeoni / RethinkingDeepActiveLearning
  ☆15Updated 4 years ago
• acl21 / deep-active-learning-pytorch
  A PyTorch toolkit with 8 popular deep active learning query methods implemented.
  ☆89Updated 4 years ago
• avihu111 / TypiClust
  Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets
  ☆99Updated last year
• rafikg / CEAL
  Pytorch implementation of Cost-Effective Active Learning for Deep Image Classification paper
  ☆17Updated 5 years ago
• Mephisto405 / Learning-Loss-for-Active-Learning
  Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
  ☆223Updated 5 years ago
• cubeyoung / TA-VAAL
  [CVPR2021] Task-Aware Variational Adversarial Active Learning
  ☆42Updated last year
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆57Updated 6 years ago
• ptrckhmmr / DEAL
  Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)
  ☆21Updated 4 years ago
• boschresearch / LatentOE-AD
  Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022
  ☆40Updated 3 years ago
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆109Updated 4 years ago
• donalee / DeepMCDD
  Multi-class Data Description for Out-of-distribution Detection
  ☆21Updated 4 years ago
• thuml / Domain-Adaptation-Regression
  Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
  ☆84Updated 4 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆145Updated 2 years ago
• kaist-dmlab / SELFIE
  ☆53Updated 5 years ago
• liuem607 / expVAE
  Visually Explainable VAE
  ☆64Updated 4 years ago
• sungbinlim / NeuBoots
  Neural Bootstrapper (NeuBoots)
  ☆25Updated 4 years ago
• snowood1 / wenn
  Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)
  ☆16Updated 4 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆44Updated 3 years ago
• lironber / GOAD
  Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
  ☆90Updated last year
• cpark321 / uncertainty-deep-learning
  ☆239Updated 5 years ago
• inspire-group / SSD
  SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
  ☆138Updated 4 years ago
• PrateekMunjal / TorchAL
  Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.
  ☆68Updated 2 years ago
• ismailnejjar / DARE-GRAM
  [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices
  ☆58Updated 2 years ago
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆275Updated 3 years ago
• huyng / incertae
  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
  ☆70Updated 5 years ago
• liyu10000 / DeepLDA
  End-to-end Deep Linear Discriminant Analysis in Pytorch.
  ☆17Updated 4 years ago
• Kyushik / Predictive-Uncertainty-Estimation-using-Deep-Ensemble
  This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
  ☆157Updated 3 years ago
• razvancaramalau / Sequential-GCN-for-Active-Learning
  ☆54Updated 3 years ago
• yliess86 / BayeFormers
  General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…
  ☆45Updated 5 years ago