Alternatives and similar repositories for CEAL_keras:

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

• peiyunh / alpf
  Active Learning with Partial Feedback, ICLR 2019
  ☆11Updated 4 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 4 years ago
• seominseok0429 / Learning-Loss-for-Active-Learning-Pytorch
  Learning Loss for Active Learning Pytorch Implementation,(reproduction)
  ☆32Updated 5 years ago
• MSiam / Few-Shot-Learning
  ☆100Updated 4 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 6 years ago
• MrGiovanni / Active-Learning
  [CVPR 2017] Official Implementation for AIFT
  ☆93Updated 3 years ago
• toantm / BGADL
  Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).
  ☆24Updated 5 years ago
• shibuiwilliam / ActiveSemiSupervisedDeepLearning
  Comparing active learning, semi-supervised learning and combination of them on deep learning.
  ☆14Updated 7 years ago
• damienlancry / DBAL
  Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)
  ☆26Updated 5 years ago
• ashafaei / out-of-distribution-detection
  The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
  ☆118Updated 5 years ago
• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 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
• dsgissin / DiscriminativeActiveLearning
  Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…
  ☆203Updated 5 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• moskomule / ssl-suite
  SSL using PyTorch
  ☆49Updated 5 years ago
• tylersco / adapted_deep_embeddings
  Code associated with "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning"
  ☆27Updated 2 years ago
• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 7 years ago
• moskomule / pytorch.snapshot.ensembles
  PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]
  ☆36Updated 7 years ago
• stanford-futuredata / selection-via-proxy
  ☆95Updated 4 years ago
• neuropoly / deep-active-learning
  Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)
  ☆38Updated 6 years ago
• SoojungYang / supervised_pretraining_GN_WS
  Supervised NN for pre-training. with group normalization and weight standardization
  ☆30Updated 5 years ago
• khurramjaved96 / incremental-learning
  Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
  ☆107Updated 8 months ago
• yanqi1811 / domain-adaptation
  ☆22Updated 6 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆53Updated 4 years ago
• yanbeic / semi-memory
  Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
  ☆47Updated 6 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• wonheeML / mtl-ssl
  Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR, 2019)
  ☆128Updated 4 years ago
• BlackHC / BatchBALD
  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
  ☆240Updated 10 months 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