katerakelly / pytorch-maml
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
☆556Updated 6 years ago
Alternatives and similar repositories for pytorch-maml:
Users that are interested in pytorch-maml are comparing it to the libraries listed below
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆792Updated last year
- A PyTorch implementation of OpenAI's REPTILE algorithm☆217Updated 5 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆232Updated 4 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆556Updated 5 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆179Updated 2 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆369Updated 3 years ago
- ☆152Updated 5 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆532Updated 6 months ago
- A curated list of Meta-Learning resources/papers.☆553Updated 4 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆254Updated 7 years ago
- A classified list of meta learning papers based on realm.☆355Updated 2 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆305Updated 5 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 5 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,129Updated 3 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆141Updated 3 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,355Updated 5 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆756Updated 2 years ago
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆337Updated 11 months ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆628Updated 3 years ago
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,134Updated 4 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆147Updated 5 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆199Updated 2 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,003Updated 2 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,009Updated last year
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆311Updated 6 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆314Updated 4 years ago
- A dataset of datasets for learning to learn from few examples☆768Updated 8 months ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆423Updated 4 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆630Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 2 years ago