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

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Implementation of "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Implementation of Siamese Networks using PyTorch

Multi-task learning for image classification implemented in PyTorch.

Implementation of Siamese Neural Networks for One-shot Image Recognition

Implementation of Matching Networks for One Shot Learning in TensorFlow 2.0

Implementation of Siamese-Networks for One Shot Learning in TensorFlow 2.0

Cluttered Omniglot dataset and models

Implementation of "Siamese neural networks for one-shot image recognition" via Keras 2.3.1 and TensorFlow backend.

Fine Tuning for Image Recognition with a model trained with Reptile

Repository for few-shot learning machine learning projects

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

Very simple MAML-like metalearning baseline

This is pedagogical implementation of MAML Algorithm.

a deep recurrent model for exchangeable data

Teaching machines in comparably few shots.

Performing one-shot learning using a triplet network with different triplet selection methods (random and hard).

One Shot Learning Implementation

Probabilistic programming stuff 2