abdulfatir / prototypical-networks-tensorflow
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
☆134Updated 7 years ago
Alternatives and similar repositories for prototypical-networks-tensorflow:
Users that are interested in prototypical-networks-tensorflow are comparing it to the libraries listed below
- An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf☆330Updated 6 years ago
- Matching Networks for one shot learning☆230Updated 7 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆256Updated 7 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…☆339Updated last year
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)☆266Updated 6 years ago
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆183Updated 5 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆560Updated 5 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆249Updated 7 years ago
- Matching Networks for one-shot learning in tensorflow (NIPS'16)☆57Updated 6 years ago
- Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080☆53Updated 6 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆316Updated 5 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆242Updated 5 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆308Updated 3 years ago
- Virtual adversarial training with Tensorflow☆251Updated 6 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆372Updated 3 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 5 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆29Updated 7 years ago
- Gaussian prototypical network architecture for few-shot learning☆39Updated 5 years ago
- ☆520Updated 3 years ago
- Code for the paper CVPR‘18 "A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts"☆195Updated 3 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆180Updated 7 years ago
- ☆100Updated 4 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆561Updated 6 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆535Updated 8 months ago
- ☆223Updated 6 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,019Updated 3 years ago
- Few shot learning☆155Updated 3 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 6 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago