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adni_explorations

caffe

cellview

cellvision

Imaging single molecules in living cells with fluorescence microscopy offers unparalleled datasets that we use to crack unsolved problems in cell biology. Unfortunately, high light doses necessary to acquire high resolution images are harmful to cells, which severely limits our ability to visualize biological processes over long periods of time. We want to use deep learning to dramatically lower the light doses used in fluorescence microscopy while retaining high signal-to-noise ratio. This will allow us to perform experiments that are currently impossible.

csr_utils

Scalable Operations for CSR matrices

deepkernelregression

univariate and multivariate kernel regression

ml4mri

Umbrella package for prediction from MRI dicom data.

ml_in_health_club

We will include code scripts we will cover in NYUMC's Machine Learning in Health Journal Club

narges-rzv.github.io

nyc_environment

A set of python codes for visualizing and analysing New York City environment variables

nyulhdementiaehr

obesitypy

patient-viz

radiology_util

stock

basic stock info

tcgia_dataset

torch7

vizviz

weather