Miaotxy / my_pytorch_mamlLinks
a respectively concise Implemention of Maml in Module way
☆30Updated 6 years ago
Alternatives and similar repositories for my_pytorch_maml
Users that are interested in my_pytorch_maml are comparing it to the libraries listed below
Sorting:
- ☆157Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆290Updated 3 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆91Updated 6 years ago
- Learning What and Where to Transfer (ICML 2019)☆250Updated 5 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆191Updated 6 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆177Updated 4 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 3 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆176Updated 3 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Updated 7 years ago
- Code for Continual Learning of Context-dependent Processing in Neural Networks☆182Updated 4 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Updated 3 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆169Updated 4 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- awesome few shot / meta learning papers☆53Updated 4 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆163Updated 5 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 5 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆244Updated 6 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 5 years ago
- This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".☆49Updated 4 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 3 years ago
- Few shot learning☆156Updated 4 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆354Updated 6 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆82Updated 8 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆61Updated 6 years ago
- The official implementation of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆26Updated 3 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆88Updated last year
- Learning to Self-Train for Semi-Supervised Few-Shot☆94Updated 2 years ago