Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Learningtocompare_fsl | 891 | 5 years ago | 20 | mit | Python | |||||
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part) | ||||||||||
Mini Imagenet Tools | 399 | 4 years ago | 5 | mit | Python | |||||
Tools for generating mini-ImageNet dataset and processing batches | ||||||||||
Meta Learning Lstm Pytorch | 92 | 5 years ago | 2 | Python | ||||||
pytorch implementation of Optimization as a Model for Few-shot Learning | ||||||||||
Simple Cnaps | 89 | a year ago | 1 | mit | Python | |||||
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission) | ||||||||||
Maml Tensorflow | 86 | 6 years ago | 3 | Python | ||||||
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks | ||||||||||
Simple_shot | 72 | 3 years ago | 7 | mit | Python | |||||
Sib_meta_learn | 37 | 4 years ago | Python | |||||||
Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients | ||||||||||
T Nas | 27 | 2 years ago | 2 | Python | ||||||
Source code of ICLR2020 paper 'Towards Fast Adaptation of Neural Architectures with Meta Learning' | ||||||||||
San | 15 | 4 years ago | mit | Python | ||||||
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images | ||||||||||
Meta Adversarial Training | 8 | 3 years ago | other | Python | ||||||
Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet. |