dhaalves / CEAL_keras

Related projects ⓘ

Alternatives and complementary repositories for CEAL_keras

• peiyunh / alpf
  Active Learning with Partial Feedback, ICLR 2019
  ☆11Updated 4 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 5 years ago
• seominseok0429 / Learning-Loss-for-Active-Learning-Pytorch
  Learning Loss for Active Learning Pytorch Implementation,(reproduction)
  ☆31Updated 4 years ago
• MSiam / Few-Shot-Learning
  ☆102Updated 4 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…
  ☆202Updated 5 years ago
• ozansener / active_learning_coreset
  Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
  ☆260Updated 6 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.
  ☆13Updated 7 years ago
• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 6 years ago
• zhoumu53 / few_shot_learning
  Awesome papers in few-shot learning/one-shot learning.
  ☆30Updated 5 years ago
• yanbeic / semi-memory
  Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
  ☆47Updated 5 years ago
• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 3 years ago
• MrGiovanni / Active-Learning
  [CVPR 2017] Official Implementation for AIFT
  ☆93Updated 3 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆65Updated 4 years ago
• damienlancry / DBAL
  Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)
  ☆26Updated 5 years ago
• SoojungYang / supervised_pretraining_GN_WS
  Supervised NN for pre-training. with group normalization and weight standardization
  ☆30Updated 4 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆90Updated 3 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆117Updated last year
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 5 years ago
• hoxmark / Deep_reinforcement_active_learning
  Deep Reinforcement Active learning - Master Thesis
  ☆18Updated last year
• 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
• AAAI2018submission / Adversarial_Active_Learning
  Adversarial Active Learning for Deep Networks
  ☆14Updated 6 years ago
• moskomule / ssl-suite
  SSL using PyTorch
  ☆49Updated 4 years ago
• BlackHC / BatchBALD
  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
  ☆230Updated 5 months ago
• naoto0804 / pytorch-VAT
  Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].
  ☆26Updated 6 years ago
• SchafferZhang / DADA
  code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
  ☆50Updated 6 years ago
• kuanghuei / clean-net
  Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)
  ☆89Updated 6 years ago
• sinhasam / vaal
  Variational Adversarial Active Learning (ICCV 2019)
  ☆225Updated last year
• ksenia-konyushkova / LAL
  This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
  ☆86Updated 2 years ago
• khurramjaved96 / incremental-learning
  Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
  ☆107Updated 3 months ago