Hi everyone! I worked for 6 months on meta-learning algorithms for few-shot computer vision (classifying images or detecting objects with few examples). The code for my experiments in now public:

https://github.com/ebennequin/FewShotVision

It’s fully documented, and you should be able to launch your own experiments in a transparent and reproducible way. Please tell me if I can improve it!