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
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.
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).
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