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Random Forests are often the textbook example of highly parallel algorithms that are unsuitable for GPUs. In this project, we propose and evaluate our CUDA implementation of Extremely Randomized Trees (or ExtraTrees), a variant of Random Forests which are more amenable to GPU-driven parallel programming.
[Code] [Report]


Structured Nested Dictionaries. This module provides extensions to dicts in the python standard library, providing fast and clean manipulation of nested dictionary structures.


Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

[Paper] [arXiv] [Code] [Data Report] [Medium Post] - Abstract
Citation: Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanisław Jastrzębski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, S. Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras. Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Transactions on Medical Imaging, 2019.