This is like a huge repo of curated methods for machine learning, deep learning, etc, each presented with its original paper and a lot of data involved in the method.
The method page gives you an extract from the paper about the method, the architecture, related papers, trends over time, and subcomponents the method relies on.
Now tracking 730+ building blocks of machine learning: optimizers, activations, attention layers, convolutions and much more! Compare usage over time and explore papers from a new perspective. Browse the catalogue here: