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followers: 165.0 following: 20.0 repos: 105.0 gists: 32.0

Name: Antreas Antoniou

Type: User

Company: University of Edinburgh

Bio: Research Associate in Machine Learning, interested in the intersection of multi-modal learning and meta-learning.

Twitter: AntreasAntonio

Location: Edinburgh

Blog: https://antreas.io

Antreas Antoniou

I am a Machine Learning Research Associate at the University of Edinburgh, supervised by Prof. Amos Storkey. I am a member of the BayesWatch research group and the Adaptive and Neural Computation (ANC) research institute.

Leading my research interests is Multi-Modal Learning, specifically targeting the synergistic integration of text, images, audio, and video data. This is followed by the development of Self-Supervised Methods, inspired by mechanisms of infant learning and principles of evolutionary computation.

Additional key areas include Meta-Learning, Adversarial Learning, and Optimization Techniques Inspired by Evolutionary Optimization. These are applied across both differentiable and gradient-free optimization paradigms. Other relevant research dimensions include Inductive Biases, Scalability, Computational Efficiency, and Memory-Augmented Neural Networks.

For more information see my website: https://antreas.io/home/

Antreas Antoniou's Projects

hephie

Hephie -- from Hephaestus -- is an AI assistant designed by a software engineer for other software engineers

home-platform

A Household multimodal environment (HoME) based on the SUNCG indoor scenes dataset

howtotrainyourmaml_step_by_step_blogpost

howtotrainyourmamlpytorch

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.

hydra

Hydra is a framework for elegantly configuring complex applications

hydra-zen

Pythonic functions for creating and enhancing Hydra applications

knitr-examples

A collection of knitr examples

kornia

Open Source Differentiable Computer Vision Library

kubeflow-distribution

Blueprints for Deploying Kubeflow on Google Cloud Platform and Anthos

kubejobs

language-dana

A "Dana" syntax highlighter for atom

lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

learn2learn

A PyTorch Library for Meta-learning Research

learning_to_learn_via_self-critique

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

learningtomultimodallearn

A pytorch based classification experiments template

learningtoreadcharacterbycharacter

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

lightning-maml

MAML Implementation using Pytorch-lightning

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

maml

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

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

matchingnetworks

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

meta-dataset

A dataset of datasets for learning to learn from few examples

metarlexperimentspytorch

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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Antreas Antoniou

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