Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
☆2,476May 16, 2019Updated 6 years ago
Alternatives and similar repositories for MAML-Pytorch
Users that are interested in MAML-Pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,715Jan 19, 2020Updated 6 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Oct 4, 2018Updated 7 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆828Dec 5, 2023Updated 2 years ago
- A PyTorch Library for Meta-learning Research☆2,879Dec 16, 2025Updated 3 months ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,055Jul 17, 2023Updated 2 years ago
- ☆156Dec 31, 2019Updated 6 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆247Sep 2, 2024Updated last year
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Jul 7, 2020Updated 5 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,562Nov 24, 2020Updated 5 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,657Nov 26, 2018Updated 7 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆785Jun 2, 2025Updated 9 months ago
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,227Sep 19, 2021Updated 4 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,159Dec 14, 2021Updated 4 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆877Dec 27, 2022Updated 3 years ago
- Repository for few-shot learning machine learning projects☆1,280Nov 25, 2019Updated 6 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆544Jul 25, 2024Updated last year
- A curated list of Meta-Learning resources/papers.☆553Dec 21, 2020Updated 5 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆653Oct 10, 2021Updated 4 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆215May 15, 2022Updated 3 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Dec 31, 2019Updated 6 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆664Jan 19, 2023Updated 3 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,074Oct 22, 2019Updated 6 years ago
- Code for the paper "On First-Order Meta-Learning Algorithms"☆1,034May 20, 2023Updated 2 years ago
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,222Jan 28, 2021Updated 5 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆434Jul 31, 2020Updated 5 years ago
- Reproduce MAML in Pytorch with omniglot dataset.☆104Apr 23, 2020Updated 5 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,067Apr 5, 2022Updated 3 years ago
- A dataset of datasets for learning to learn from few examples☆799May 24, 2024Updated last year
- This repo contains the source code accompanying a scientific paper with the same name.☆378Nov 1, 2021Updated 4 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆190Mar 21, 2019Updated 7 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…☆345Mar 5, 2024Updated 2 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,628Mar 25, 2022Updated 3 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆571Jun 26, 2019Updated 6 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Apr 30, 2019Updated 6 years ago
- ☆524Jul 5, 2021Updated 4 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆145Mar 22, 2021Updated 5 years ago
- Very simple pytorch maml implement☆129Jan 11, 2024Updated 2 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆263Sep 22, 2017Updated 8 years ago
- Collection for Few-shot Learning☆996May 31, 2023Updated 2 years ago