Neptune Open Source Projects

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

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

A flexible, powerful and lightweight plugin framework for Android

📘 The experiment tracker for foundation model training

UPnP SDK

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

Open solution to the Mapping Challenge :earth_americas:

Samples and documentation for using the Amazon Neptune graph database service

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

Tools and utilities to enable loading data and building graph applications with Amazon Neptune.

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.

Go from graph data to a secure and interactive visual graph app in 15 minutes. Batteries-included self-hosting of graph data apps with Streamlit, Graphistry, RAPIDS, and more!

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

A .NET object-graph-mapper for Apache TinkerPop™ Gremlin enabled databases.

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

A Go package built to communicate with Apache TinkerPop™ Graph computing framework using Gremlin; a graph traversal language used by graph databases such as JanusGraph®, MS Cosmos DB, AWS Neptune, and DataStax® Enterprise Graph.

Serverless application that demonstrate how to use AWS AppSync and Amazon Neptune to build a realtime, data driven application.

一个 Warframe 的多聊天平台机器人

A collection of AWS CDK Python examples with architecture diagrams for frequently used AWS services

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.

Fluid SpringBoard for iOS 12