| floodsung/LearningToCompare_FSL |
891 |
|
0 |
0 |
over 6 years ago |
0 |
|
20 |
mit |
Python |
| PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part) |
| yaoyao-liu/mini-imagenet-tools |
399 |
|
0 |
0 |
over 5 years ago |
0 |
|
5 |
mit |
Python |
| Tools for generating mini-ImageNet dataset and processing batches |
| markdtw/meta-learning-lstm-pytorch |
92 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
|
Python |
| pytorch implementation of Optimization as a Model for Few-shot Learning |
| peymanbateni/simple-cnaps |
89 |
|
0 |
0 |
about 3 years ago |
0 |
|
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) |
| dragen1860/MAML-TensorFlow |
86 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
|
Python |
| Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks |
| mileyan/simple_shot |
72 |
|
0 |
0 |
about 5 years ago |
0 |
|
7 |
mit |
Python |
| hushell/sib_meta_learn |
37 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
Python |
| Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients |
| dongzelian/T-NAS |
27 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
|
Python |
| Source code of ICLR2020 paper 'Towards Fast Adaptation of Neural Architectures with Meta Learning' |
| d-li14/SAN |
15 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| [ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images |
| boschresearch/meta-adversarial-training |
8 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
other |
Python |
| Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet. |
