☆577Mar 1, 2023Updated 3 years ago
Alternatives and similar repositories for few-shot-gnn
Users that are interested in few-shot-gnn are comparing it to the libraries listed below
Sorting:
- ☆275Jun 24, 2019Updated 6 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Jul 23, 2018Updated 7 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆569Jun 26, 2019Updated 6 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Jul 26, 2021Updated 4 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,074Oct 22, 2019Updated 6 years ago
- ☆524Jul 5, 2021Updated 4 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,159Dec 14, 2021Updated 4 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆243May 4, 2019Updated 6 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆178Jul 25, 2024Updated last year
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,219Jan 28, 2021Updated 5 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆159Jul 29, 2019Updated 6 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆202Jun 20, 2023Updated 2 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated last year
- Few shot learning☆157Aug 10, 2021Updated 4 years ago
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆345Mar 5, 2024Updated 2 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,063Apr 5, 2022Updated 3 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆351Apr 12, 2020Updated 5 years ago
- Low-shot learning with large-scale diffusion☆47Jan 25, 2019Updated 7 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Jul 31, 2020Updated 5 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Jun 20, 2022Updated 3 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Oct 4, 2018Updated 7 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆263Sep 22, 2017Updated 8 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Jul 8, 2019Updated 6 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,656Nov 26, 2018Updated 7 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆377Nov 1, 2021Updated 4 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆329Mar 26, 2020Updated 5 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆310Aug 30, 2021Updated 4 years ago
- A dataset of datasets for learning to learn from few examples☆800May 24, 2024Updated last year
- Recent few-shot meta-learning papers☆85Jun 15, 2018Updated 7 years ago
- Zero-Shot Learning with GCN (CVPR 2018)☆918Mar 23, 2019Updated 6 years ago
- Repository for few-shot learning machine learning projects☆1,279Nov 25, 2019Updated 6 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆785Jun 2, 2025Updated 9 months ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆311Apr 30, 2019Updated 6 years ago
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆603Nov 15, 2022Updated 3 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆251Feb 15, 2018Updated 8 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Jun 22, 2022Updated 3 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆474Nov 19, 2021Updated 4 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,472May 16, 2019Updated 6 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆111Jun 24, 2018Updated 7 years ago