Deep Learning refers to set of techniques for learning in
Neural Nets. So does the statement "reimplementation of Deep Learning algorithms replicating performance from papers"
mean implementing these algorithms using which
Neural Networks learn their weights and measuring do they perform as well as said in the research paper? or implementing a
model that some research paper suggests and replicating its results?
Context: OpenAI Machine Learning Fellow position demands this in an applicants profile state exactly in the following words:
"We look for candidates with one or more of the following credentials:
Open-source reimplementations of deep learning algorithms which replicate performance from the papers"
Therefore, What is it that they are technically looking for?