pj0616 Goto Github PK

ctakes-docker

d2s-docs

📖 Home for the Data2Services project documentation

datapipelines32blob

An Automated Data Pipeline to Copy Data from Amazon S3 to Azure Storage

deep_geolocation

deep_multilingual_normalization

This repository will host the code used in our 2020 "Medical concept normalization in French using multilingual terminologies and contextual embeddings" article.

deepchem_for_dti_prediction

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

delphi

Code and examples for "Learning on Knowledge Graph Dynamics Provides Early Warning of Impactful Research".

demo-templates

dev-sec-ops

Advanced AWS Security Automation Resources: Used by Udemy Course 🎓

dgl-citation-network

Graph Classification on dgl's CoraFullDataset

dgl-neptune-examples

DGL-Neptune Cooperate examples

dgl-operator

The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes

dgl-tutorial

dgl-winter

dgl_internal_workshop_april2020

dimenet-dgl

A DGL implementation of "Directional Message Passing for Molecular Graphs" (ICLR 2020).

document-understanding-solution

Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.

download-archive-2

durleca

The released code for DURLECA.

ebm-nlp

ehr-rl

The potential for the use of AI is dramatic especially as it can assist family clinicians who are usually overloaded with patients to make better choices for treatment of their type 2 patients in order to help prevent hyperglycemia, hypertension and CV risk outcomes.

ehr-rwe

Weak supervision methods for extracting real world evidence from EHRs

ehrernie

eks-school

emr-custom

engineering-education

A community-generated pool of educational content which is useful for engineers of every level.

entity_disambiguation

Neural Network models to map mention of a text to corresponding entity in the Knowledge Base

es-gcn

explore-uniprotkb-with-amazon-neptune

In this example, we will demonstrate the step-by-step process to create and use your own protein knowledge base using UniProt RDF data. We will show how to ingest a subset of UniProtKB data into your own Amazon Neptune database directly from the Registry of Open Data on AWS. We will then show how to query the data with SPARQL, create new relationships in the data and visualise the data as a graph.