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@AntreasAntoniou

Antreas Antoniou

AntreasAntoniou
Edinburgh

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.

1 sponsor has funded AntreasAntoniou’s work.

@AntreasAntoniou

Allow me to ditch my part time job and instead focus that time on more open source efforts.

@taskswithcode

Featured work

  1. 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

    Python 37
  2. AntreasAntoniou/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.

    Python 791
  3. AntreasAntoniou/mlpractical-2019

    Machine Learning Practical course repository

    Jupyter Notebook
  4. AntreasAntoniou/DAGAN

    DAGAN: Data Augmentation Generative Adversarial Networks

    Python 416
  5. AntreasAntoniou/MatchingNetworks

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

    Python 329
  6. AntreasAntoniou/FewShotContinualLearning

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

    Python 34

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