#Neptune

aws

graph-notebook

Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.

minerva-ml

open-solution-home-credit

Open solution to the Home Credit Default Risk challenge :house_with_garden:

neptune-ai

open-solution-mapping-challenge

Open solution to the Mapping Challenge :earth_americas:

fcakyon

yolov5-pip

Packaged version of ultralytics/yolov5 + many extra features

panacloud

bootcamp-2021

Become a Certified Unicorn Developer and Participant in the API Token Economy

minerva-ml

open-solution-toxic-comments

Open solution to the Toxic Comment Classification Challenge

minerva-ml

open-solution-data-science-bowl-2018

Open solution to the Data Science Bowl 2018

litegraphdb

litegraph

Lightweight graph database with relational, vector, and MCP support, designed to power knowledge and artificial intelligence persistence and retrieval.

minerva-ml

open-solution-ship-detection

Open solution to the Airbus Ship Detection Challenge

minerva-ml

minerva-training-materials

Learn advanced data science on real-life, curated problems

aws-solutions-library-samples

guidance-for-digital-thread-using-graph-and-generative-ai-on-aws

This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.