Antreas Antoniou

DAGAN: Data Augmentation Generative Adversarial Networks

AntreasAntoniou

A deep learning powered bot capable of classifying images into user-specified categories

AntreasAntoniou

The original code for the paper "Benchmarks for Continual Few-Shot Learning".

AntreasAntoniou

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

AntreasAntoniou

The original code for the paper "Learning to Learn via Self-Critique".

AntreasAntoniou

The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".

AntreasAntoniou

An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

AntreasAntoniou

AntreasAntoniou

A very minimal ml project template that uses HF transformers and wandb to train a simple NN and evaluate it, in a stateless manner compatible with Spot instances kubernetes workflows

AntreasAntoniou