hereismari / tensorflow-mamlLinks
TensorFlow 2.0 implementation of MAML.
☆83Updated 6 years ago
Alternatives and similar repositories for tensorflow-maml
Users that are interested in tensorflow-maml are comparing it to the libraries listed below
Sorting:
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆210Updated 3 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆144Updated 4 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆237Updated 5 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 5 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆42Updated 6 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆192Updated 6 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆310Updated 6 years ago
- A classified list of meta learning papers based on realm.☆363Updated 2 years ago
- Meta learning framework with Tensorflow 2.0☆118Updated 2 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆651Updated 2 years ago
- ☆155Updated 5 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆248Updated 3 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Updated 6 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆810Updated last year
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- A Pytorch implementation of MAML☆56Updated 2 years ago
- ☆78Updated 4 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆205Updated 3 years ago
- Implementation of the variational continual learning method☆194Updated 6 years ago
- A curated list of Meta-Learning resources/papers.☆553Updated 4 years ago
- A TensorFlow 2.0 with eager execution implementation of Pytorch OpenAI few-shot regression toy example☆16Updated 6 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆204Updated last year
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 4 years ago
- Tensorflow Implementation of One-Shot Learning with Memory Augmented Neural Network☆47Updated 7 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆188Updated 5 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆377Updated 3 years ago