Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
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Updated
Nov 9, 2024 - Jupyter Notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Open solution to the Home Credit Default Risk challenge 🏡
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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.
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
This library is a location of the LegacyLogger for PyTorch Lightning.
Examples of using Neptune to keep track of your experiments (maintenance only).
Add a description, image, and links to the neptune topic page so that developers can more easily learn about it.
To associate your repository with the neptune topic, visit your repo's landing page and select "manage topics."