technical-solutions-lakehouse Goto Github PK

jsl-financial-nlp

Drawing a Company Ecosystem Graph

jsl-kg-cohorts

Building Patient Cohorts with NLP and Knowledge Graphs

jsl-medical-risk-factors

Automated Extraction of Medical Risk Factors For Life Insurance Underwriting

jsl-medical-text-summarization

jsl-sdoh-ner

llamaindex-on-databricks

RAG with Llamaindex on Databricks

llms-for-good

Aligning Large Language Models to business preferences on Databricks

many-model-forecasting

Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.

media-mix-modeling

Media Mix Modeling Accelerator

medicare-risk-adjustment

Databricks and John Snow Labs Solution Accelerator for Medicare Risk Adjustment automates the extraction of undiagnosed member conditions from unstructured clinical notes with NLP models, improving downstream reimbursements.

ml-on-databricks

mlflow-recipes-examples-extended

Deeper dive into integration with mlflow recipes

mlops-world-end-to-end

mosaic

An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.

nasdaq-crypto

Nasdaq Data Link Digital Assets / Nasdaq's Investment Intelligence suite Solution Accelerator

ocr-phi-masking

Our joint Solution Accelerator with John Snow Labs automates the detection of sensitive information contained within unstructured data using NLP models for healthcare. Extracted data is stored within the Lakehouse, where teams can use the pre-trained models to easily remove, obfuscate or mask data for downstream analytics at massive scale.

omop-cdm

Unlocking the Power of Health Data With a Modern Data Lakehouse

oncology

Generate oncology insights from real-world data using NLP. Once extracted, oncology data is enriched with useful information like ICD-10 codes and used to build powerful visualizations

optimized-picking

Get started with our Solution Accelerator for Order Picking to apply optimization logic to each order to: Avoid unexpected delivery outcomes and assess the impact of small variations on order picking Minimize total store travel time to increase profitability

pixels

Facilitates simple large scale processing of HLS Medical images, documents, zip files. Previously at https://github.com/dmoore247/pixels

propensity

Get started with our Solution Accelerator for Propensity Scoring to build effective propensity scoring pipelines that: Enable the persistence, discovery and sharing of features across various model training exercises Quickly generate models by leveraging industry best practices Track and analyze the various model iterations generated

review-summarisation

Automated Analysis of Product Reviews Using Large Language Models

routing

Get started with our Solution Accelerator for Scalable Route Generation to optimize delivery routes and increase profitability

rwd-survival-analysis

ship2ship-transfers

Ship-to-Ship Transfer Identification using Geospatial Analytics

slack-bot-rag

Spring boot application to create a slack bot, interfacing with RAG models on mlflow

smart-claims

Use Databricks to improve the Claims Management process for faster claims settlement, lower claims processing costs and quicker identification of possible fraud

social-determinants-of-health

Using Delta Sharing to Democratize Insights Into Social Determinants of Health

survival-analysis

Survival analysis is a collection of statistical methods used to examine and predict the time until an event of interest occurs. In this Solution Accelerator, learn how to use different survival analysis techniques for predicting churn and calculating lifetime value.

trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)