Alternatives and similar repositories for CEAL_keras:

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

• MSiam / Few-Shot-Learning
  ☆100Updated 4 years ago
• peiyunh / alpf
  Active Learning with Partial Feedback, ICLR 2019
  ☆11Updated 4 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 6 years ago
• seominseok0429 / Learning-Loss-for-Active-Learning-Pytorch
  Learning Loss for Active Learning Pytorch Implementation,(reproduction)
  ☆32Updated 5 years ago
• ashafaei / out-of-distribution-detection
  The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
  ☆118Updated 5 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 4 years ago
• moskomule / pytorch.snapshot.ensembles
  PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]
  ☆36Updated 7 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆34Updated 6 years ago
• toantm / BGADL
  Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).
  ☆24Updated 5 years ago
• khurramjaved96 / incremental-learning
  Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
  ☆107Updated 7 months ago
• shibuiwilliam / ActiveSemiSupervisedDeepLearning
  Comparing active learning, semi-supervised learning and combination of them on deep learning.
  ☆14Updated 7 years ago
• MrGiovanni / Active-Learning
  [CVPR 2017] Official Implementation for AIFT
  ☆93Updated 3 years ago
• abhiskk / ladder
  Implementation of Ladder Network in PyTorch.
  ☆45Updated 7 years ago
• dbrojas / domain_adapt
  Domain adaptation networks for digit recognitioning
  ☆14Updated 7 years ago
• zhoumu53 / few_shot_learning
  Awesome papers in few-shot learning/one-shot learning.
  ☆30Updated 6 years ago
• lizhitwo / LearningWithoutForgetting
  Repository for the Learning without Forgetting paper, ECCV 2016
  ☆83Updated 4 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…
  ☆31Updated 3 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 5 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 4 years ago
• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 3 years ago
• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 7 years ago
• yanbeic / semi-memory
  Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
  ☆47Updated 6 years ago
• mengf1 / PAL
  Policy based Active Learning with DQN (EMNLP-2017)
  ☆88Updated 6 years ago
• ksenia-konyushkova / LAL
  This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
  ☆87Updated 2 years ago
• xialeiliu / RotateNetworks
  The rep for the RotateNetworks in ICPR18, Beijing, China.
  ☆33Updated 6 years ago
• ozansener / active_learning_coreset
  Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
  ☆266Updated 6 years ago
• moskomule / ssl-suite
  SSL using PyTorch
  ☆49Updated 5 years ago
• AntreasAntoniou / Learning_to_Learn_via_Self-Critique
  The original code for the paper "Learning to Learn via Self-Critique".
  ☆46Updated 5 years ago
• MrtnMndt / OpenVAE_ContinualLearning
  Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
  ☆62Updated 2 years ago