jgamblegeorge Goto Github PK

jupyter_training

Jupyter and Anaconda Training, NIEHS 2018

lcdb-wf

Robust, tested workflows for RNA-seq, ChIP-seq and other high-throughput sequencing analysis

mander

Package for calculating compactness measures and quantifying gerrymandering.

matplotlib-tutorial

Matplotlib tutorial for beginner

metasearch

OpenNeuroLab MetaSearch App

monai

AI Toolkit for Healthcare Imaging

mrqa

mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance

ncov

Nextstrain build for novel coronavirus (nCoV)

neural_networks

nih-byob.github.io

NIH Bring Your Own Bioinformatics Website

nih.ai-deep-learning-tutorial

tutorial material for NIH.AI workshop

opends4all

OpenDS4All project, hosted by LF AI & Data

openscale_app

Build, deploy and monitor a machine learning model and related application with IBM Cloud, Watson Machine Learning, and Watson OpenScale.

pets-app

phenotype_data_acquisition

The repository for code and documentation produced by the N3C Phenotype and Data Acquisition workstream

phewas

The PheWAS R package

plotma-shiny

Shiny app to create an MA plot

pluto.jl

🎈 Simple reactive notebooks for Julia

presentations

NIH BYOB Presentation Materials

prism

Training materials for Prism 8

python_biologist

Python Programming for Biologists

qgis

QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)

rcea

Course materials for learning how to perform applied cost-effectiveness analysis with R

reddit

analysis of mental health support groups on Reddit

reinvent2019-aim362-sagemaker-debugger-model-monitor

Build, train & debug, and deploy & monitor with Amazon SageMaker

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

sagemaker-churn

Hands-on SageMaker lab looking at cell phone churn

sagemakerrl-sml-summit-2019

sas_kernel

A Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code and view results inline.

sc-usersgroup

Info about NIH-IRP Single Cell Users Group events