Alternatives and similar repositories for MAML-TensorFlow

Users that are interested in MAML-TensorFlow are comparing it to the libraries listed below

• katerakelly / pytorch-maml
  PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
  ☆561Updated 6 years ago
• AntreasAntoniou / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆809Updated last year
• markdtw / meta-learning-lstm-pytorch
  pytorch implementation of Optimization as a Model for Few-shot Learning
  ☆181Updated 2 years ago
• tristandeleu / pytorch-maml
  An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
  ☆235Updated 4 years ago
• gabrielhuang / reptile-pytorch
  A PyTorch implementation of OpenAI's REPTILE algorithm
  ☆219Updated 5 years ago
• eambutu / snail-pytorch
  Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
  ☆148Updated 5 years ago
• twitter-research / meta-learning-lstm
  This repo contains the source code accompanying a scientific paper with the same name.
  ☆375Updated 3 years ago
• yaoyao-liu / meta-transfer-learning
  TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
  ☆762Updated 2 years ago
• dragen1860 / Reptile-Pytorch
  ☆154Updated 5 years ago
• AdrienLE / ANIML
  Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
  ☆193Updated 6 years ago
• miguealanmath / MAML-Pytorch
  Reproduce MAML in Pytorch with omniglot dataset.
  ☆104Updated 5 years ago
• oneHuster / Meta-Learning-Papers
  A classified list of meta learning papers based on realm.
  ☆358Updated 2 years ago
• gitabcworld / FewShotLearning
  Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
  ☆256Updated 7 years ago
• renmengye / few-shot-ssl-public
  Meta Learning for Semi-Supervised Few-Shot Classification
  ☆560Updated 5 years ago
• cbfinn / maml_rl
  Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
  ☆639Updated 2 years ago
• kjunelee / MetaOptNet
  Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
  ☆536Updated 10 months ago
• lmzintgraf / cavia
  Code for "Fast Context Adaptation via Meta-Learning"
  ☆142Updated 4 years ago
• google-deepmind / leo
  Implementation of Meta-Learning with Latent Embedding Optimization
  ☆307Updated 6 years ago
• jik0730 / Meta-SGD-pytorch
  Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835
  ☆89Updated 6 years ago
• shirleyzhu233 / PyTorch-MAML
  A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
  ☆237Updated 9 months ago
• sudharsan13296 / Hands-On-Meta-Learning-With-Python
  Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
  ☆1,204Updated 3 years ago
• dragen1860 / awesome-meta-learning
  A curated list of Meta-Learning resources/papers.
  ☆553Updated 4 years ago
• cnguyen10 / few_shot_meta_learning
  Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
  ☆247Updated 3 years ago
• Runist / MAML-keras
  Using keras and tf build MAML
  ☆52Updated 2 years ago
• gitabcworld / MatchingNetworks
  This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…
  ☆342Updated last year
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆120Updated 6 years ago
• dragen1860 / MAML-Pytorch
  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
  ☆2,406Updated 6 years ago
• foolyc / Meta-SGD
  Meta-SGD experiment on Omniglot classification compared with MAML
  ☆80Updated 7 years ago
• hereismari / tensorflow-maml
  TensorFlow 2.0 implementation of MAML.
  ☆83Updated 5 years ago
• yinboc / few-shot-meta-baseline
  Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
  ☆640Updated 3 years ago