google-research / meta-dataset
A dataset of datasets for learning to learn from few examples
☆775Updated 9 months ago
Alternatives and similar repositories for meta-dataset:
Users that are interested in meta-dataset are comparing it to the libraries listed below
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆533Updated 7 months ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,136Updated 3 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,014Updated 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…☆802Updated last year
- A classified list of meta learning papers based on realm.☆358Updated 2 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆306Updated 5 years ago
- ☆369Updated 4 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆558Updated 5 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆558Updated 6 years ago
- Repository for few-shot learning machine learning projects☆1,234Updated 5 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,012Updated 2 years ago
- ☆520Updated 3 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆422Updated 4 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆630Updated 3 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆233Updated 4 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 3 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆761Updated 2 years ago
- Tools for generating mini-ImageNet dataset and processing batches☆435Updated 4 years ago
- A curated list of Meta-Learning resources/papers.☆555Updated 4 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆370Updated 3 years ago
- A PyTorch Library for Meta-learning Research☆2,729Updated 9 months ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 4 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆216Updated 5 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆538Updated 7 months ago
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,151Updated 4 years ago
- A curated list of resources about few-shot and one-shot learning☆282Updated 5 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆226Updated 4 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆585Updated 3 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆807Updated 5 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆210Updated 2 years ago