Alex Taylor-Barreto Databricks's Projects
End to end MLops pipeline on Databricks MLR
An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.
Nasdaq Data Link Digital Assets / Nasdaq's Investment Intelligence suite Solution Accelerator
Notebooks for the Natural Language Processing with Transformers
Object Detection at Scale with Databricks and YOLO
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.
Unlocking the Power of Health Data With a Modern Data Lakehouse
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
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
Recipes for using Python's pandas library
Use personalized images to enhance the output of an image generating model
Facilitates simple large scale processing of HLS Medical images, documents, zip files. Previously at https://github.com/dmoore247/pixels
How to use the Machine Learning Runtime and MLflow on top of a health Delta Lake to predict patient disease
Python Data Science Handbook: full text in Jupyter Notebooks
Databricks DL with PyTorch Lightning and Petastorm
Radiology LLM Labeling
Cross-compiler and Data Reconciler into Databricks Lakehouse
Automated Analysis of Product Reviews Using Large Language Models
Get started with our Solution Accelerator for Scalable Route Generation to optimize delivery routes and increase profitability
Interoperability with SAS
Security Analysis Tool (SAT) analyzes customer's Databricks account and workspace security configurations and provides recommendations that help them follow Databrick's security best practices. When a customer runs SAT, it will compare their workspace configurations against a set of security best practices and delivers a report.
Modelling Databricks and Salesforce data to help your customers and improve your business outcomes
Ship-to-Ship Transfer Identification using Geospatial Analytics
Use Databricks to improve the Claims Management process for faster claims settlement, lower claims processing costs and quicker identification of possible fraud
Burning Through Electronic Health Records in Real Time With Smolder
Using Delta Sharing to Democratize Insights Into Social Determinants of Health
Binding the GDELT universe in a Spark environment
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent