goshaQ

sparker

SparkER: an Entity Resolution framework for Apache Spark

amundsen

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

metorikku

A simplified, lightweight ETL Framework based on Apache Spark

waimak

Waimak is an open-source framework that makes it easier to create complex data flows in Apache Spark.

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

ml-system-design-pattern

System design patterns for machine learning

countries

World countries in JSON, CSV, XML and Yaml. Any help is welcome!

Apache-Kafka-poc-and-notes

setl

A simple Spark-powered ETL framework that just works 🍺

moonbox

Moonbox is a DVtaaS (Data Virtualization as a Service) Platform

spark-daria

Essential Spark extensions and helper methods ✨😲

deep-rl-tsc

Distributed Deep Reinforcement Learning Traffic Signal Control

RESIDE

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

haxball-chameleon

Solving Haxball (www.haxball.com) using Imitation Learning methods.

sumo-rl

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning

This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).