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

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

Open solution to the Mapping Challenge :earth_americas:

Packaged version of ultralytics/yolov5 + many extra features

Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

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

Open solution to the Data Science Bowl 2018

Open solution to the Toxic Comment Classification Challenge

Easiest way of fine-tuning HuggingFace video classification models

Open solution to the TGS Salt Identification Challenge

Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.

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

Graph AWS resources in Neptune

Open solution to the Airbus Ship Detection Challenge

Learn advanced data science on real-life, curated problems

Open solution to the Santander Value Prediction Challenge :tropical_fish:

PrusaSlicer config bundle for the Neptune 3 Pro series printers.

Tiny ORM for graph databases: Neo4j, RedisGraph, AWS Neptune or Gremlin

Astronomy. VSOP2013 planetary positions. PlanetFun App: Solar system model in 3D. LeapFrog Gravity Integration. Stars, Moon and planets. The discovery of Neptune

Amazon Neptune JDBC Driver by Amazon Web Services

This library is a location of the LegacyLogger for PyTorch Lightning.

Examples of using Neptune to keep track of your experiments (maintenance only).

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.

Open-source tool for tracking & monitoring machine learning models.

Music Modeling Kit

Creates high-resolution renderings of the Earth and the major celestial bodies in our solar system for astrodynamics applications.

Blueprint for running AWS Bedrock Multi-Agent AI collaboration with CDK, Graph DB, Streamlit and LangFuse

Neptune Framework official account.

Open solution to the Cdiscount’s Image Classification Challenge