Alternatives and similar repositories for pytorch-maml

Users that are interested in pytorch-maml are comparing it to the libraries listed below

• johnnyasd12 / awesome-few-shot-meta-learning
  awesome few shot / meta learning papers
  ☆53Updated 4 years ago
• baiksung / ALFA
  Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
  ☆88Updated 3 years ago
• mominabbass / Sharp-MAML
  Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
  ☆33Updated 2 years ago
• Han-Jia / UNICORN-MAML
  PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
  ☆44Updated last year
• uvavision / Curriculum-Labeling
  [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
  ☆139Updated 5 years ago
• mingzhang-yin / Meta-learning-without-memorization
  A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…
  ☆22Updated 2 years ago
• haebeom-lee / l2b
  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
  ☆101Updated 5 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 3 years ago
• k-r-allen / imp
  infinite mixture prototypes for few-shot learning
  ☆51Updated 3 years ago
• liyiying / Feature_Critic
  Feature-Critic Networks for Heterogeneous Domain Generalisation
  ☆55Updated 6 years ago
• henrikmarklund / arm
  ☆83Updated 2 years ago
• HJ-Yoo / BOIL
  ☆15Updated 5 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆72Updated 5 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆67Updated 5 years ago
• thuml / Batch-Spectral-Shrinkage
  Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
  ☆24Updated 4 years ago
• fiveai / on-episodes-fsl
  This repository contains the code for the paper On Episodes, Prototypical Networks, and Few-shot Learning
  ☆35Updated 4 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• indy-lab / ProtoTransfer
  Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
  ☆51Updated 4 years ago
• mattochal / imbalanced_fsl_public
  PyTorch implementation for "Few-Shot Learning with Class Imbalance"
  ☆37Updated 4 years ago
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 3 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago
• wyf0912 / MIXALL
  [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'
  ☆26Updated 5 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 4 years ago
• ahujak / IB-IRM
  ☆31Updated 4 years ago
• moukamisama / F2M
  ☆35Updated 3 years ago
• mboudiaf / pytorch-meta-dataset
  A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification
  ☆60Updated 2 years ago
• xialeiliu / GFR-IL
  Generative Feature Replay For Class-Incremental Learning
  ☆38Updated 5 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆44Updated 3 years ago
• microsoft / Domain-Adaptation-with-Conditional-Distribution-Matching-and-Generalized-Label-Shift
  Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
  ☆39Updated 5 years ago
• AntreasAntoniou / FewShotContinualLearning
  The original code for the paper "Benchmarks for Continual Few-Shot Learning".
  ☆36Updated 5 years ago