hereismari / tensorflow-mamlLinks
TensorFlow 2.0 implementation of MAML.
☆83Updated 5 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:
- Meta learning framework with Tensorflow 2.0☆118Updated 2 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 5 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆142Updated 4 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
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆235Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 6 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 3 years ago
- Tensorflow r2.1 reimplementation of Model-Agnostic Meta-Learning☆21Updated 5 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆203Updated 11 months ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 5 years ago
- A Neuromodulated Meta-Learning algorithm☆116Updated 5 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 6 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆208Updated 3 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆41Updated 6 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆308Updated 6 years ago
- Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0☆53Updated last year
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Implementation of the variational continual learning method☆190Updated 6 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆38Updated 6 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 6 years ago
- Tensorflow Implementation of MAML☆54Updated 7 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 3 years ago
- ☆154Updated 5 years ago
- MAML implementation (tensorflow)☆14Updated 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…☆41Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- A TensorFlow 2.0 with eager execution implementation of Pytorch OpenAI few-shot regression toy example☆16Updated 6 years ago