dragen1860 / MAML-PytorchLinks
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
☆2,421Updated 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
Sorting:
- 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
- A PyTorch Library for Meta-learning Research☆2,806Updated last year
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,035Updated last year
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,658Updated 5 years ago
- Repository for few-shot learning machine learning projects☆1,259Updated 5 years ago
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,178Updated 4 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,147Updated 3 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,536Updated 4 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆764Updated last month
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,208Updated 3 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Updated 6 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,029Updated 3 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,634Updated 6 years ago
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,746Updated last year
- Collection for Few-shot Learning☆983Updated 2 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,070Updated 5 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆645Updated 3 years ago
- Reproduce MAML in Pytorch with omniglot dataset.☆105Updated 5 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆208Updated 3 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆241Updated 10 months ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆540Updated 11 months ago
- A curated list of Meta-Learning resources/papers.☆553Updated 4 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,040Updated 10 months ago
- pytorch implementation of Domain-Adversarial Training of Neural Networks☆886Updated 5 years ago
- A classified list of meta learning papers based on realm.☆359Updated 2 years ago
- PyTorch implementation of Contrastive Learning methods☆1,986Updated last year
- Meta Learning for Semi-Supervised Few-Shot Classification☆562Updated 6 years ago
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆590Updated 2 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆235Updated 5 years ago
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Class…☆1,723Updated last month