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coreui-milk-management-app

coreui-posinventory

coreui-pro-react-admin-template-2.0.4

coreui-pro-react-admin-template-2.0.4 Dashboard Menu (Reviewed)

coreui-starter

coreui-tapevents

temp repo

coreui-with-redux-react

croppie

A Javascript Image Cropper

ctsi-mcw-deid

NLP Software to deidentify protected health information from clinical notes.

ctsi-mcw-deid-service

NLP web application and web service software to deidentify protected health information from clinical notes

cv_machinelearning

The machine learning portion of the MIMC_v2 study.

cycontext

A Python implementation of the ConText algorithm for clinical text concept assertion using the spaCy framework

data-deidentifier

Babel data de-identifier

data-engineering-with-apache-spark-delta-lake-and-lakehouse

Data Engineering with Spark and Delta Lake

data-mining-class-mini-projects

data-processing-examples

Data processing examples

data-processing-scala

data_science_bootcamp

Welcome to Data Science Bootcamp Series. This repository houses the source code and other supporting artifacts related to this bootcamp series.

dataacyclicgraphs

Apache Airflow DAGs

dataasap

Deidentify Healthcare Transactions fast!

databasesource_versioncontrol

Database Change Control

databricks-delta-table

Databricks-Delta-Table

databricks-demo-delta-streaming

Demo of Structured Streaming with Delta Lake

databrickscontent

Examples surrounding Databricks.

dataproc

dataproc-spark-processing

Contains PySpark jobs to do batch processing from GCS to BigQuery & GCS to GCS and also bash script to perform end to end Dataproc process from creating cluster, submitting jobs and delete cluster.

dbmi_6950_2018

debugger

A visual debugger for Jupyter notebooks, consoles, and source files

decart_2017_rulebased_nlp

Repository for the 2017 DeCart (DATA SCIENCE FOR THE HEALTH SCIENCES) University of Utah class in rule-based NLP

decart_rule_based_nlp

deepgradientcompression

It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep gradient compression is a technique by which the gradients are compressed before they are being sent. This approach greatly reduces the communication bandwidth and thus improves multi node training.