Miaotxy / my_pytorch_mamlLinks
a respectively concise Implemention of Maml in Module way
☆30Updated 5 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:
- ☆154Updated 5 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 6 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 3 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆174Updated 3 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 6 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆80Updated 7 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆53Updated 6 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 5 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆181Updated 2 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 6 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆106Updated 2 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆48Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆66Updated 4 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- ARML for ICLR 2020☆42Updated 5 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆288Updated 3 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 5 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 2 years ago
- awesome few shot / meta learning papers☆53Updated 4 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆256Updated 7 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆62Updated 4 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆219Updated 5 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated last year
- pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version☆42Updated 6 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- HSML for ICML 2019☆51Updated 5 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆94Updated 2 years ago