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

Open solution to the Home Credit Default Risk challenge 🏡

Open solution to the Mapping Challenge 🌎

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.

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

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.

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 🐠

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

Lightweight graph database built using Sqlite

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

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