tristandeleu / pytorch-metaView external linksLinks
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
☆2,052Jul 17, 2023Updated 2 years ago
Alternatives and similar repositories for pytorch-meta
Users that are interested in pytorch-meta are comparing it to the libraries listed below
Sorting:
- A PyTorch Library for Meta-learning Research☆2,875Dec 16, 2025Updated 2 months ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 3 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Jul 7, 2020Updated 5 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,472May 16, 2019Updated 6 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…☆827Dec 5, 2023Updated 2 years ago
- A dataset of datasets for learning to learn from few examples☆798May 24, 2024Updated last year
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,159Dec 14, 2021Updated 4 years ago
- Repository for few-shot learning machine learning projects☆1,279Nov 25, 2019Updated 6 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,712Jan 19, 2020Updated 6 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆650Oct 10, 2021Updated 4 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,563Nov 24, 2020Updated 5 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆783Jun 2, 2025Updated 8 months ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,657Nov 26, 2018Updated 7 years ago
- Collection for Few-shot Learning☆996May 31, 2023Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆255Mar 7, 2022Updated 3 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated last year
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,228Sep 19, 2021Updated 4 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Oct 4, 2018Updated 7 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆569Jun 26, 2019Updated 6 years ago
- ☆524Jul 5, 2021Updated 4 years ago
- A curated list of Meta-Learning resources/papers.☆553Dec 21, 2020Updated 5 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,293Mar 3, 2024Updated last year
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆236Nov 6, 2020Updated 5 years ago
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,123Apr 20, 2022Updated 3 years ago
- ☆375Jan 22, 2021Updated 5 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,304Aug 17, 2025Updated 5 months ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆875Dec 27, 2022Updated 3 years ago
- A classified list of meta learning papers based on realm.☆365Sep 29, 2022Updated 3 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Apr 30, 2019Updated 6 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Jul 31, 2020Updated 5 years ago
- An end-to-end PyTorch framework for image and video classification☆1,612Jun 27, 2024Updated last year
- A curated list of awesome self-supervised methods☆6,361Jul 3, 2024Updated last year
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,766Oct 14, 2025Updated 4 months ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆588Oct 12, 2021Updated 4 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,062Apr 5, 2022Updated 3 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,162Mar 22, 2024Updated last year
- Bayesian optimization in PyTorch☆3,458Updated this week
- Memory efficient MAML using gradient checkpointing☆86Dec 30, 2019Updated 6 years ago
- Graph Neural Network Library for PyTorch☆23,469Updated this week