learnables / learn2learnLinks
A PyTorch Library for Meta-learning Research
☆2,823Updated last year
Alternatives and similar repositories for learn2learn
Users that are interested in learn2learn are comparing it to the libraries listed below
Sorting:
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,041Updated 2 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,437Updated 6 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,544Updated 4 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,670Updated 5 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…☆811Updated last year
- Repository for few-shot learning machine learning projects☆1,262Updated 5 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,621Updated 3 years ago
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,209Updated 3 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,147Updated 3 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,640Updated 6 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆768Updated 2 months ago
- A dataset of datasets for learning to learn from few examples☆786Updated last year
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,750Updated last month
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,191Updated 4 years ago
- Collection for Few-shot Learning☆984Updated 2 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,034Updated 3 years ago
- PyTorch implementation of Contrastive Learning methods☆1,987Updated last year
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Updated 6 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,428Updated last year
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,286Updated 11 months ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆643Updated 3 years ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,834Updated last year
- A curated list of Meta-Learning resources/papers.☆553Updated 4 years ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,336Updated last year
- A classified list of meta learning papers based on realm.☆363Updated 2 years ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,344Updated 2 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆242Updated 11 months ago
- DomainBed is a suite to test domain generalization algorithms☆1,535Updated 7 months ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,846Updated last year
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆237Updated 5 years ago