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Showing results

An MCP (Model Context Protocol) server to interact with components in Kedro

Python 2 Updated Oct 15, 2025

Refactoring agent using LangGraph, Kedro, and Ollama

Python 1 Updated Jul 16, 2025

Repo for Kedro Academy

Jupyter Notebook 18 77 Updated Oct 13, 2025

Model Context Protocol Servers

TypeScript 70,688 8,419 Updated Oct 18, 2025
Python 4 Updated Nov 15, 2024

Kedro Plugin to support running pipelines on AWS SageMaker.

Python 23 9 Updated Feb 19, 2025

A Kedro Plugin for Databricks

Python 22 11 Updated Sep 28, 2025

Specification of the Farcaster Protocol

2,173 336 Updated Dec 11, 2024

YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions

C++ 4,603 727 Updated Oct 18, 2025

Visualise your Kedro data and machine-learning pipelines and track your experiments.

JavaScript 729 116 Updated Oct 14, 2025

Vizro is a low-code toolkit for building high-quality data visualization apps.

Python 3,421 222 Updated Oct 17, 2025

First-party plugins maintained by the Kedro team.

Python 106 107 Updated Oct 17, 2025

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

Python 10,585 970 Updated Oct 17, 2025

In this project, I use convolutional neural network to classify traffic signs. Specifically, I trained a model to classify traffic signs from the German Traffic Sign Dataset. I used TensorFlow for …

Jupyter Notebook 3 Updated Jun 10, 2018

The goal of this project is to create a pipeline that find lines on the road

Jupyter Notebook 2 Updated Jun 10, 2018

The goal of the project - to build a neural network (in Keras) which can drive a car in a simulation track.

Python 2 Updated Jun 10, 2018

Several projects how to program Self-Driving-Cars

2 Updated Jun 9, 2018

Several Jupyter Notebooks for machine learning

Jupyter Notebook 2 Updated Apr 2, 2018

The aim - is to develop a model that will give accurate predictions for the customer's test sample, but the training sample for is not given. It should be collected by parsing

Jupyter Notebook 2 Updated Jun 9, 2018