Martijn's repositories
Kaggle-Histopathologic
In this competition, you must create an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset (the original PCam dataset contains duplicate images due to its probabilistic sampling, however, the version presented on Kaggle does not contain duplicates).
Courses-DL1
These are custom datasets in the notebooks of FastAI v3 part1.
multiuser_prodigy
Running Prodigy for a team of annotators
pytorch-transformers
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)