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2015lab1

2015lab3

2016

Course material for BIO 260 and CSCI E-107 in Spring 2016

awesome-deep-learning-papers

The most cited deep learning papers

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

camelyon16

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

camelyon16-1

camelyon16-grand-challenge

Implementation of Camelyon'16 grand challenge

claritynlp

An NLP framework for clinical phenotyping. Docker | Python | Solr | OMOP. http://claritynlp.readthedocs.io/en/latest/

cnn-for-sentence-classification-in-keras

Convolutional Neural Networks for Sentence Classification in Keras

consexpression

Tool for RNA-Seq analysis.

d3-book

Sample code files to accompany the book “Interactive Data Visualization for the Web”

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

deeplearningcamelyon

DeepLearning - Camelyon16 dataset

embeddings

Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts" (http://cs.nyu.edu/~dsontag/papers/ChoiChiuSontag_AMIA_CRI16.pdf)

finalproject

Biostat 578 Final Project with Jun Hwang and Caitlin McHugh

iacs_computefest_deeplearning

iacs_computefest_sklearn

isl-pythonlab

My answer to ISL lab in Python

lc-all-solutions

My own leetcode solutions by python

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

nlp_course

YSDA course in Natural Language Processing

notes

Notes on a variety of things

odscon-sf-2015

Material for ODSCON San Francisco 2015

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

phenotyping

This repository contains data and code for the paper"Comparing deep learning and concept extraction based methods for patient phenotyping".

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

tensorflow-livelessons

"Deep Learning with TensorFlow" LiveLessons