antreasantoniou
Research Associate in Machine Learning, interested in the intersection of multi-modal learning and meta-learning.
Funding Links: https://github.com/sponsors/AntreasAntoniou
- Name: Antreas Antoniou
- Location: Edinburgh
- Company: University of Edinburgh
- Kind: user
- Followers: 176
- Following: 19
- Total stars: 1691
- Repositories count: 101
- Created at: 2022-11-12T03:28:49.101Z
- Updated at: 2025-03-28T05:43:40.071Z
- Last synced at: 2025-03-28T05:43:40.071Z
GitHub Sponsors Profile
I love building and researching things that can help provide deeper insight into existing technologies or enable, democratize and accelerate community efforts towards a global machine learning research and engineering effort.
Receiving sponsorships means I can spend less time worrying about where to get enough funds to provide for my family and two cats, and more time thinking and building cool stuff. Other than that, the rest of the funding would go to compute resources and potentially one or two developers to help accelerate my work.
- Current Sponsors: 0
- Past Sponsors: 0
- Total Sponsors: 0
- Minimum Sponsorship: $1.00
Featured Works
AntreasAntoniou/minimal-ml-template
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
Language: Python - Stars: 38AntreasAntoniou/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.
Language: Python - Stars: 803AntreasAntoniou/mlpractical-2019
Machine Learning Practical course repository
Language: Jupyter Notebook - Stars:AntreasAntoniou/DAGAN
DAGAN: Data Augmentation Generative Adversarial Networks
Language: Python - Stars: 419AntreasAntoniou/MatchingNetworks
An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf
Language: Python - Stars: 329AntreasAntoniou/FewShotContinualLearning
The original code for the paper "Benchmarks for Continual Few-Shot Learning".
Language: Python - Stars: 35Active Sponsors
Past Sponsors
taskswithcode
Sponsor Breakdown
- User: 1