jik0730 / MAML-in-pytorchLinks
Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
☆60Updated 4 years ago
Alternatives and similar repositories for MAML-in-pytorch
Users that are interested in MAML-in-pytorch are comparing it to the libraries listed below
Sorting:
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆91Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- ☆155Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 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
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 5 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Updated 4 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆219Updated 5 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆117Updated 5 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018