Hi, we are ML Aide, and our purpose is to make model management a joy for you!
ML Aide is designed and developed to be
- Enterprise-ready: Identity, security and integrity as first class citizen
- Diverse: Supports every ML Library for complete freedom
- Transparent: Provided Open Source for maximum transparency
- Independent: Runs on every Cloud platform or On-Premises for complete independence
- Scalable: Scalable from single user to large enterprises and ready for growing demands
- Effective: Accelerates MLOps for more focus on what really matters: Your Business
Track all relevant information of your machine learning models with ML Aide to manage your model lifecycle from training to retirement.
- Experiment Tracking: Track parameters, metrics and artifacts in your machine learning experiments that are organized through single runs.
- Artifact Management: Attach artifacts like code, configs or models to your experiment runs and reuse them in your next run.
- Experiment Lineage: Inspect your experiment with a visualized lineage representing the relationship between all runs and artifacts.
- Model Staging: Put your models under version control and stage them to obtain transparency and reproducibility in your operations.
- Run Evaluation: Evaluate your runs by viewing or comparing parameters and metrics to identify the best model for your machine learning product.
- ML Library Integration: Raising amount of integrated machine learning libraries for convenient tracking of parameters, metrics and models.
- Access Management: Manage access to your machine learning projects and collaborate with other members of your team.
- Homepage: https://mlaide.com
- Quickstart: https://docs.mlaide.com/start/quickstart/
- Tutorial: https://docs.mlaide.com/tutorial/introduction/
- Documentation: https://docs.mlaide.com/