tristandeleu / pytorch-metaLinks
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
☆2,044Updated 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☆2,831Updated last year
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆812Updated last year
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,442Updated 6 years ago
- Repository for few-shot learning machine learning projects☆1,266Updated 5 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,623Updated 3 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,150Updated 3 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,548Updated 4 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,678Updated 5 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆771Updated 3 months ago
- Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow☆1,210Updated 3 years ago
- PyTorch implementation of Contrastive Learning methods☆1,988Updated last year
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,189Updated 4 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,039Updated 3 years ago
- A dataset of datasets for learning to learn from few examples☆789Updated last year
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Updated 6 years ago
- Collection for Few-shot Learning☆984Updated 2 years ago
- A classified list of meta learning papers based on realm.☆363Updated 2 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆645Updated 3 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,638Updated 6 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆542Updated last year
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆237Updated 5 years ago
- A curated list of Meta-Learning resources/papers.☆554Updated 4 years ago
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,750Updated last month
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,837Updated last year
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,109Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆248Updated 3 years ago
- A curated list of papers, code and resources pertaining to zero shot learning☆930Updated 4 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆243Updated last year
- Meta Learning for Semi-Supervised Few-Shot Classification☆566Updated 6 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,071Updated 5 years ago