Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
☆1,073Apr 5, 2022Updated 4 years ago
Alternatives and similar repositories for Prototypical-Networks-for-Few-shot-Learning-PyTorch
Users that are interested in Prototypical-Networks-for-Few-shot-Learning-PyTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,233Jan 28, 2021Updated 5 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆329Mar 26, 2020Updated 6 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,075Oct 22, 2019Updated 6 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆570Jun 26, 2019Updated 6 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,158Dec 14, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Repository for few-shot learning machine learning projects☆1,285Nov 25, 2019Updated 6 years ago
- ☆524Jul 5, 2021Updated 4 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆265Sep 22, 2017Updated 8 years ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆132Feb 9, 2018Updated 8 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆654Oct 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…☆349Mar 5, 2024Updated 2 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆252Feb 15, 2018Updated 8 years ago
- ☆576Mar 1, 2023Updated 3 years ago
- An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf☆334Jul 1, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Matching Networks for one shot learning☆236Oct 26, 2017Updated 8 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,479May 16, 2019Updated 6 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆567Oct 4, 2018Updated 7 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆542Jul 25, 2024Updated last year
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,057Jul 17, 2023Updated 2 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆243May 4, 2019Updated 7 years ago
- A novel method for few shot learning☆53Nov 2, 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
- Few shot learning☆157Aug 10, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Jul 31, 2020Updated 5 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆2,723Jan 19, 2020Updated 6 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆352Apr 12, 2020Updated 6 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,657Nov 26, 2018Updated 7 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆310Aug 30, 2021Updated 4 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆788Jun 2, 2025Updated 11 months ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆201Jun 20, 2023Updated 2 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …