Alternatives and similar repositories for LAL:

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

• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 6 years ago
• Riashat / Active-Learning-Bayesian-Convolutional-Neural-Networks
  Active Learning on Image Data using Bayesian ConvNets
  ☆137Updated 8 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
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 5 years ago
• mmazeika / glc
  Gold Loss Correction
  ☆86Updated 6 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆122Updated 4 years ago
• AAAI2018submission / Adversarial_Active_Learning
  Adversarial Active Learning for Deep Networks
  ☆14Updated 6 years ago
• BlackHC / BatchBALD
  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
  ☆235Updated 8 months ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 7 years ago
• tensorfreitas / Temporal-Ensembling-for-Semi-Supervised-Learning
  Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution
  ☆55Updated 5 years ago
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆33Updated 9 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• alinlab / Confident_classifier
  Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
  ☆178Updated 4 years ago
• ashafaei / out-of-distribution-detection
  The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
  ☆118Updated 5 years ago
• mengf1 / PAL
  Policy based Active Learning with DQN (EMNLP-2017)
  ☆88Updated 6 years ago
• ozansener / active_learning_coreset
  Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
  ☆265Updated 6 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆90Updated 6 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆42Updated 7 years ago
• giorgiop / loss-correction
  Robust loss functions for deep neural networks (CVPR 2017)
  ☆91Updated 4 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆128Updated 6 years ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆202Updated 8 months ago
• FelixAbrahamsson / mixmatch-pytorch
  An implementation of MixMatch with PyTorch
  ☆36Updated 4 years ago
• BlackHC / batchbald_redux
  Reusable BatchBALD implementation
  ☆77Updated 11 months 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
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆79Updated 2 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 10 years ago
• GRAAL-Research / domain_adversarial_neural_network
  Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)
  ☆138Updated 7 years ago
• takerum / vat_tf
  Virtual adversarial training with Tensorflow
  ☆251Updated 6 years ago
• toantm / BGADL
  Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).
  ☆24Updated 5 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆98Updated 8 years ago