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The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Built on the Substrate-based runtime, this repository develops the Paralink Network, a cross-chain Oracle platform for secure and scalable data integration. Our goal is to create a robust infrastru…
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
OriginTrail Decentralized Knowledge Graph network node
The Common Data Model (CDM) is a standard and extensible collection of schemas (entities, attributes, relationships) that represents business concepts and activities with well-defined semantics, to…
A tool to help improve data quality standards in observational data science.
数据治理、数据质量检核/监控平台（Django+jQuery+MySQL）
python automatic data quality check toolkit
Know your data better！Datavines is Next-gen Data Observability Platform, support metadata manage and data quality.
A repository of sample code to show data quality checking best practices using Airflow.
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
This project simulates an e-puck robot in a virtual industrial environment, demonstrating its ability to autonomously explore, avoid obstacles, and detect red-coloured objects using sensors and ca…
This project involves developing a maze solving logic that uses wall following algorithm programmed in python. The robot is simulated using the e-puck robot and IR sensors in the Webots simulating …
Decentralized Multi-Agent Exploration on ROS with Distributed Deep Reinforcement Learning using A3C Algorithm
Collective training of neural networks on distributed datasets.