Alternatives and similar repositories for MAML-Pytorch

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

• vmikulik / maml-pytorch
  A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.
  ☆41Updated 6 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
• markdtw / meta-learning-lstm-pytorch
  pytorch implementation of Optimization as a Model for Few-shot Learning
  ☆181Updated 2 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
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 3 years ago
• timchen0618 / pytorch-leo
  Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization
  ☆48Updated 5 years ago
• dualslash / reptile-torch
  PyTorch Implementation of Reptile
  ☆20Updated 4 years ago
• minkyujeon / MAML_Pytorch
  MAML implementation with pytorch
  ☆11Updated 4 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 5 years ago
• mariacer / cl_in_rnns
  Continual Learning in Recurrent Neural Networks
  ☆37Updated 3 years ago
• baiksung / ALFA
  Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
  ☆82Updated 2 years ago
• ServiceNow / osaka
  Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…
  ☆105Updated 2 years ago
• aravindr93 / imaml_dev
  Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)
  ☆57Updated 5 years ago
• tristandeleu / pytorch-maml
  An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
  ☆235Updated 4 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated 10 months ago
• Adaptive-RL / AdaRL-code
  Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…
  ☆37Updated last year
• vuoristo / MMAML-Regression
  ☆21Updated 4 years ago
• TomVeniat / ProgressiveNeuralNetworks.pytorch
  Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework
  ☆52Updated 5 years ago
• JosephKJ / PyTorch-MAML-and-Reptile
  MAML and Reptile sine wave regression example in PyTorch
  ☆18Updated 5 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆62Updated 5 years ago
• lmzintgraf / cavia
  Code for "Fast Context Adaptation via Meta-Learning"
  ☆142Updated 4 years ago
• LecJackS / CS-330-Deep-Multi-Task-and-Meta-Learning
  https://cs330.stanford.edu/
  ☆62Updated 2 years ago
• mominabbass / Sharp-MAML
  Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
  ☆31Updated 2 years ago
• Han-Jia / UNICORN-MAML
  PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
  ☆42Updated 11 months 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
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆164Updated 3 years ago
• StanfordASL / moca
  ☆32Updated 2 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆56Updated 6 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆76Updated 2 years ago
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆190Updated 6 years ago