Ecosyste.ms sponsors
An open API service aggregating public data about GitHub Sponsors.
An open API service aggregating public data about GitHub Sponsors.
Research Associate in Machine Learning, interested in the intersection of multi-modal learning and meta-learning.
Funding Links: https://github.com/sponsors/AntreasAntoniou
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.
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: 35The 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: 785Machine Learning Practical course repository
Language: Jupyter Notebook - Stars:DAGAN: Data Augmentation Generative Adversarial Networks
Language: Python - Stars: 415An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf
Language: Python - Stars: 328The original code for the paper "Benchmarks for Continual Few-Shot Learning".
Language: Python - Stars: 34