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From Giskard installation to collaborative ML evaluation and testing
Open-Source CI/CD platform for ML teams. Deliver ML products, better & faster.
Collaborate faster
with
feedback
from business stakeholders.
Deploy automated tests
to eliminate regressions, errors & biases.
GitHub - Giskard-AI/giskard: Quality Assurance for AI
GitHub
Join the Giskard Discord Server!
Discord
Setup
git
clone https://github.com/Giskard-AI/giskard.git
cd
giskard
docker
-compose up
-d
Yes, that's all! Then start inspecting & testing your ML models at
http://localhost:19000/
login
: admin
password
: admin
For more details, refer to the guides below:
Installation & upgrade
Configuration
Upload your ML model & data
Workflow
1. Validate your ML model by collecting feedback
AI Inspect Session
2. Discuss and analyze feedback
Feedback on ML model
3. Turn feedback into tests
Automated ML Testing with Giskard
Guides: Jump right in
Follow our handy guides to get started on the basics as quickly as possible:
Installation & upgrade
Upload your ML model & data
Evaluate your ML model
Test your ML model
License
This project is licensed under the terms of the
Apache Software License 2.0
license. See
LICENSE
for more details.
Next - Guides
Installation & upgrade
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Outline
Setup
Workflow
1. Validate your ML model by collecting feedback
2. Discuss and analyze feedback
3. Turn feedback into tests
Guides: Jump right in
License