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:
- Code for "Fast Context Adaptation via Meta-Learning"☆144Updated 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
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆210Updated 3 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆42Updated 6 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
- Meta learning framework with Tensorflow 2.0☆118Updated 2 years ago
- Implementation of the variational continual learning method☆192Updated 6 years ago
- ☆78Updated 4 years ago
- A classified list of meta learning papers based on realm.☆362Updated 2 years ago
- ☆155Updated 5 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆192Updated 6 years ago
- A TensorFlow 2.0 with eager execution implementation of Pytorch OpenAI few-shot regression toy example☆16Updated 6 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 3 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 3 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆310Updated 6 years ago
- A Pytorch implementation of MAML☆55Updated 2 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆70Updated 4 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
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆649Updated 2 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Modular PyTorch implementation of policy gradient methods☆25Updated 6 years ago
- Tensorflow r2.1 reimplementation of Model-Agnostic Meta-Learning☆21Updated 5 years ago
- ☆26Updated 6 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆38Updated 6 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…☆811Updated last year
- Tensorflow Implementation of MAML☆54Updated 7 years ago
- Pytorch implementation of Neural Processes for functions and images☆232Updated 3 years ago