oscarknagg/few-shot
Python library for reproducing few-shot learning research using PyTorch, implementing algorithms like Prototypical Networks and MAML on Omniglot and miniImageNet datasets.
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This repository provides clean, tested implementations of few-shot learning research papers. It includes code for Prototypical Networks and MAML-style meta-learning algorithms trained on standard few-shot benchmarks (Omniglot, miniImageNet). The project supports running experiments to reproduce published results and includes accompanying Medium articles explaining the theory and implementation details.
Frequently asked
- What is oscarknagg/few-shot?
- Python library for reproducing few-shot learning research using PyTorch, implementing algorithms like Prototypical Networks and MAML on Omniglot and miniImageNet datasets.
- Is few-shot open source?
- Yes — oscarknagg/few-shot is open source, released under the MIT license.
- What language is few-shot written in?
- oscarknagg/few-shot is primarily written in Python.
- How popular is few-shot?
- oscarknagg/few-shot has 1.3k stars on GitHub.
- Where can I find few-shot?
- oscarknagg/few-shot is on GitHub at https://github.com/oscarknagg/few-shot.