Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

TensorFlow 2.0 implementation of MAML.

Tensorflow Implementation of MAML

Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of implicit-MAML (iMAML), FOMAML and Reptile.

Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

Tensorflow r2.1 reimplementation of Model-Agnostic Meta-Learning

E-MAML, and RL-MAML baseline implemented in Tensorflow v1

This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.

MAML implementation (tensorflow)

A fast implementation of MAML (Finn et al. 2017) in Tensorflow 2

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (TensorFlow 2.3)

Model-Agnostic Meta-Learning (MAML) Tensorflow 2 implementation. Fast, simple and easy to use.

A simple generic (TensorFlow) function that implements the MAML algorithm for regression problems as designed by Chelsea Finn et al. 2017

MAML model finished by Tensorflow 2.2

MAML implementation (tensorflow)

maml working with tensorflow

MAML (ICML, 2017) tensorflow implementation

No description available

No description available

TensorFlow 2.0 Implementation of MAML

Tensorflow code of MAML and MANN

Few-shot learning algorithm MAML with tensorflow

Face recognition using Siamese CNN + Model-Agnostic Meta-Learning (MAML), implemented in TensorFlow and Jupyter, trained on the ORL Faces dataset.