Here are the implementation of some of the most important papers in meta learning.

1. Black box meta-learning: This is the implementation of SNAIL paper which is a good example of a black box meta learning algorithm.

2. Optimization-based meta-learning: A simple implementation of MAML paper.

3. Metric-based meta-learning: Prototypical networks are prime examples of metric-based meta-learning algorithms. This is the implementation of PrototypicalNet paper.