Code for Machine Learning for Algorithmic Trading, 2nd edition.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Samples and documentation for using the Amazon Neptune graph database service

A Graph Traversal Language (no longer active - see Apache TinkerPop)

Practical Gremlin - An Apache TinkerPop Tutorial

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

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

🛁 Clean Code concepts adapted for Python

Open-source demos hosted on Dash Gallery

Official Documentation for the Binance Spot APIs and Streams

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

Insight Face on TensorFlow

Indonesian stemmer. Python port of PHP Sastrawi project.

A collection of datasets of ML problem solving

Source Code for 'Machine Learning with PySpark' by Pramod Singh

This is about learning Machine Learning with Apache Spark 2019 courses in DataCamp. All the answers given written by myself

Codes for replication and implementation of techniques in our credit risk article

🎓 Path to a free self-taught education in Computer Science!

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome