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dl4gp

DL4GP(Deep Learning for Genomics and Proteonomics) is a project which leverages Deep Learning to learn patterns from genetic and protein sequence. We propose neural network architectures which can perform variety of tasks using NLP like techniques such as identifying sequences and drug discovery.

dlaicourse

Notebooks for learning deep learning

dlbcl-morph

DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning

dlbook_notation

LaTeX files for the Deep Learning book notation

dlforgenomics

Review Paper: Deep Learning for Genomics: A Concise Overview

dlpipeline

Practical Deep Learning for Genomic Prediction: A Keras based guide to implement deep learning

dlschool-ivadofr-a18

Ecole Mila/IVADO

dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

dltk

Deep Learning Toolkit for Medical Image Analysis

docker-python

Kaggle Python docker image

docker-rstats

Kaggle R docker image

docproduct

Medical Q&A with Deep Language Models

docs

TensorFlow documentation

doctoc

📜 Generates table of contents for markdown files inside local git repository. Links are compatible with anchors generated by github or other sites.

doctorai

Repository for Doctor AI project

dr.-semmelweis-and-the-discovery-of-handwashing

Reanalyse the data behind one of the most important discoveries of modern medicine: Handwashing.

dr.-semmelweis-and-the-discovery-of-handwashing-

In 1847 the Hungarian physician Ignaz Semmelweis makes a breakthough discovery: He discovers handwashing. Contaminated hands was a major cause of childbed fever and by enforcing handwashing at his hospital he saved hundreds of lives. In this python project we will reanalyze the medical data Semmelweis collected.

dr.-semmelweis-and-the-discovery-of-handwashing-1

In this notebook, we're going to reanalyze the data that made Semmelweis discover the importance of handwashing. Let's start by looking at the data that made Semmelweis realize that something was wrong with the procedures at Vienna General Hospital.

dr.-semmelweis-and-the-discovery-of-handwashing-2

Datacamp's Dr. Semmelweis and the discovery of handwashing

dr.-semmelweis-and-the-discovery-of-handwashing-3

Data manipulation and Data Visualization

dr.-semmelweis-and-the-discovery-of-handwashing-4

Dr. Semmelweis and the discovery of handwashing

dr.-semmelweis-and-the-discovery-of-handwashing-datacamp-project

drishti

Drishti

ds-algos-python

Coding solutions to various Data Structures and algorithms using Python

ds-sf-24

dslp

The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

dynamic

EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

easytorch

EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.

ecg

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

ecg-acquisition-classification

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning