Alternatives and similar repositories for TAEML

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

• OpenXAIProject / UncertintyAttention_DropMax
  Attention prediction model based on uncertainty
  ☆44Updated 6 years ago
• OpenXAIProject / One-Shot-Learning
  Matching Networks Tensorflow 2 Implementation for few-shot AD diagnosis
  ☆21Updated 6 years ago
• OpenXAIProject / Joint-AFA-Classification
  ☆22Updated 6 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆73Updated 5 years ago
• Mephisto405 / Unsupervised-Out-of-Distribution-Detection-by-Maximum-Classifier-Discrepancy
  Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]
  ☆30Updated 6 years ago
• indy-lab / ProtoTransfer
  Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
  ☆51Updated 4 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆67Updated 5 years ago
• FengHZ / SHOT-VAE
  The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"
  ☆34Updated 3 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 4 years ago
• csm9493 / CPR_CL
  The Official Code of CPR (ICLR 2021)
  ☆15Updated 4 years ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 4 years ago
• junhocho / HGCAE
  HGCAE Pytorch implementation. CVPR2021 accepted.
  ☆44Updated 2 years ago
• OpenXAIProject / Variational_Dropouts
  A Library of Variational Dropouts
  ☆15Updated 6 years ago
• AntreasAntoniou / FewShotContinualLearningDataProvider
  The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".
  ☆16Updated 5 years ago
• kailigo / cvcZSL
  PyTorch Implementation for ICCV19 paper "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective"
  ☆33Updated 6 years ago
• SankhaSubhra / GAMO
  Generative Adversarial Minority Oversampling
  ☆34Updated 6 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
• universome / class-norm
  Class Normalization for Continual Zero-Shot Learning
  ☆34Updated 4 years ago
• takashiishida / comp
  [NeurIPS 2017] [ICML 2019] Code for complementary-label learning
  ☆50Updated 5 months ago
• jayheo / UA
  ☆25Updated 6 years ago
• kakaoenterprise / Learning-Debiased-Disentangled
  Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"
  ☆105Updated 2 years ago
• anonymous-iclr-2019 / acai-iclr-2019
  Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆20Updated 7 years ago
• haebeom-lee / maml
  MAML implementation (tensorflow)
  ☆15Updated 6 years ago
• yue-zhongqi / tcm
  ☆34Updated 4 years ago
• Liuhong99 / Imbalanced-SSL
  Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
  ☆39Updated 3 years ago
• yoonholee / MT-net
  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
  ☆38Updated 7 years ago
• google-deepmind / ssl_hsic
  ☆39Updated last year
• cadurosar / graph_kd
  Graph Knowledge Distillation
  ☆13Updated 5 years ago
• k-r-allen / imp
  infinite mixture prototypes for few-shot learning
  ☆51Updated 3 years ago
• hellowangqian / domain-adaptation-capls
  Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
  ☆62Updated 3 years ago