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[D] Documented code for reproducible experiments on meta-learning algorithms

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!

submitted by /u/etienne_ben
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.