There are 1 repository under neptune topic.
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
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
Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.
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.
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:
This library is a location of the LegacyLogger for PyTorch Lightning.
Examples of using Neptune to keep track of your experiments (maintenance only).
Amazon Neptune JDBC Driver by Amazon Web Services
PrusaSlicer config bundle for the Neptune 3 Pro series printers.
Astronomy. VSOP2013 planetary positions. PlanetFun App: Solar system model in 3D. LeapFrog Gravity Integration. Stars, Moon and planets. The discovery of Neptune
Open solution to the Cdiscount’s Image Classification Challenge
Neptune Framework official account.
Open solution to the Avito Demand Prediction Challenge
Creates high-resolution renderings of the Earth and the major celestial bodies in our solar system for astrodynamics applications.
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.
Chouette manage transport static data
Open solution to the TalkingData AdTracking Fraud Detection Challenge
Honda Tuning Files Converter (Convert eCtune .cal to .bin, Extract Neptune RTP and Hondata SManager .bin)
📚 A collection of community resources for ELEGOO Neptune 4 Plus and Max series 3D printers. 🖨️🚀🔧