The paper proposes an architecture where using Convolutional Nueral Networks one can tackle the problem of One Shot Learning.

Siamese network for one shot learning. A implementation of the paper : Siamese Neural Networks for One-shot Image Recognition using pytorch. In the model, ...

This is the implementation of One Shot face recognition using Siamese-Neural-Network in Pytorch

This book is a step by step guide to one-shot learning using Python-based libraries. It is designed to help you understand and design models.

This repository contains an implementation version of the paper koch et al, Siamese Networks for one-shot learning. The model has been created using keras.

Hands-On One-Shot Learning with Python starts by explaining the fundamentals of One Shot learning and helps you understand the concept of learning to learn. You ...

One-shot learning has less constraints than zero-shot learning approach (we need at least one labeled sample, or another model communicating this as a vector).

One-shot Learning for Semantic Segmentation (OSLSM) by Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa and Byron Boots.

This repository contains an implementation of Matching Networks in Tensorflow 2 (currently in BETA). It is specifically designed for few-shot learning of 1D ...

One-shot learning is a classification or categorization task in which one or very few data is used to classify many new data in the future. This technique is ...