google-research / meta-dataset
A dataset of datasets for learning to learn from few examples
☆768Updated 7 months ago
Alternatives and similar repositories for meta-dataset:
Users that are interested in meta-dataset are comparing it to the libraries listed below
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆791Updated last year
- ☆370Updated 3 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆531Updated 5 months ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆557Updated 5 years ago
- A curated list of Meta-Learning resources/papers.☆554Updated 4 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆754Updated 2 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,131Updated 3 years ago
- Repository for few-shot learning machine learning projects☆1,224Updated 5 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆556Updated 6 years ago
- A classified list of meta learning papers based on realm.☆352Updated 2 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,004Updated last year
- Implementation of Meta-Learning with Latent Embedding Optimization☆305Updated 5 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆423Updated 4 years ago
- ☆520Updated 3 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,002Updated 2 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆626Updated 3 years ago
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆386Updated 2 years ago
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,130Updated 3 years ago
- Tools for generating mini-ImageNet dataset and processing batches☆430Updated 4 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆246Updated 2 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆232Updated 4 years ago
- A PyTorch Library for Meta-learning Research☆2,698Updated 7 months ago
- This repo contains the source code accompanying a scientific paper with the same name.☆369Updated 3 years ago
- A curated list of resources about few-shot and one-shot learning☆282Updated 5 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,516Updated 4 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆216Updated 5 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆851Updated 2 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆208Updated 2 years ago
- ☆314Updated 9 months ago