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 7 years ago
• Riashat / Active-Learning-Bayesian-Convolutional-Neural-Networks
  Active Learning on Image Data using Bayesian ConvNets
  ☆138Updated 8 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 6 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 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…
  ☆203Updated 5 years ago
• GuokaiLiu / Noisy-Labels-Problem-Collection
  This is a collection of Papers and Codes for Noisy Labels Problem.
  ☆63Updated 7 years ago
• BlackHC / BatchBALD
  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
  ☆241Updated last year
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆32Updated 9 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆123Updated 5 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆80Updated 3 years ago
• uber-research / learning-to-reweight-examples
  Code for paper "Learning to Reweight Examples for Robust Deep Learning"
  ☆269Updated 6 years ago
• mengf1 / PAL
  Policy based Active Learning with DQN (EMNLP-2017)
  ☆90Updated 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
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆92Updated 6 years ago
• OscarcarLi / PrototypeDL
  Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…
  ☆75Updated 7 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆100Updated 9 years ago
• alinlab / Confident_classifier
  Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
  ☆182Updated 5 years ago
• takerum / vat_tf
  Virtual adversarial training with Tensorflow
  ☆252Updated 7 years ago
• mmazeika / glc
  Gold Loss Correction
  ☆87Updated 6 years ago
• s-laine / tempens
  Temporal ensembling for semi-supervised learning
  ☆158Updated 8 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆131Updated 7 years ago
• GT-RIPL / L2C
  Learning to Cluster. A deep clustering strategy.
  ☆315Updated 5 years ago
• BeenKim / MMD-critic
  ☆134Updated 5 years ago
• chihkuanyeh / Representer_Point_Selection
  code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018
  ☆67Updated 3 years ago
• mganjoo / zslearning
  Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.
  ☆54Updated 11 years ago
• giorgiop / loss-correction
  Robust loss functions for deep neural networks (CVPR 2017)
  ☆91Updated 5 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago
• xingjunm / dimensionality-driven-learning
  Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018
  ☆58Updated last year
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• yamaguchiyuto / label_propagation
  Implementations of label propagation like algorithms
  ☆82Updated 8 years ago