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giskard's Introduction

giskardlogo

Open-Source CI/CD platform for ML teams

Deliver ML products, better & faster

GitHub release GitHub build Giskard on Discord


⚡ Collaborate faster with feedback from business stakeholders.
🧑‍🔧 Deploy automated tests to eliminate regressions, errors & biases.


Interactive demo

Upload your model

Interactive demo


Easy upload for any Python model: PyTorch, TensorFlow, Transformers, Scikit-learn, etc.
👉 Documentation

Collect feedback on your model

Interactive demo


Improve ML models with business stakeholders in no time.
👉 Documentation

Get automated test suites in seconds

Interactive demo


Exhaustive test suites, backed by 
State-of-the-Art ML research.
👉 Documentation

Deploy tests in your CI/CD Pipeline

Deploy tests in CI/CD Pipeline


Protect your ML models against the risk of regressions, drift and bias.
👉 Documentation

Get Started

Get started with Giskard by reading our documentation

Installation

Requirements: docker and docker-compose

git clone https://github.com/Giskard-AI/giskard.git
cd giskard
docker-compose up -d

After the application is started you can access at:

http://localhost:19000

login / password: admin / admin

Community

Join our community on Discord to get support and leave feedback
Discord

giskard's People

Contributors

andreybavt avatar qgk75 avatar princyiakov avatar mackerac avatar alexcombessie avatar jmsquare avatar dependabot[bot] avatar

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