Open solution to the Home Credit Default Risk challenge 🏡
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Updated
Jun 22, 2022 - Python
Open solution to the Home Credit Default Risk challenge 🏡
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Become a Certified Unicorn Developer and Participant in the API Token Economy
Open solution to the Mapping Challenge 🌎
Packaged version of ultralytics/yolov5 + many extra features
Open solution to the Toxic Comment Classification Challenge
Open solution to the TGS Salt Identification Challenge
Open solution to the Data Science Bowl 2018
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.
Open solution to the Airbus Ship Detection Challenge
Open solution to the Santander Value Prediction Challenge 🐠
Learn advanced data science on real-life, curated problems
Amazon Neptune JDBC Driver by Amazon Web Services
Examples of using Neptune to keep track of your experiments (maintenance only).
Easiest way of fine-tuning HuggingFace video classification models
[ARCHIVED] Golang gremlin client; a fork of qasaur/gremgo which "supports" AWS Neptune's gremlin limitations
Open solution to the Cdiscount’s Image Classification Challenge
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 Avito Demand Prediction Challenge
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