What is ModelFoundry?
ModelFoundry is an open-source machine learning operations (MLOps) platform for the full lifecycle management of AI models. It provides a unified interface to develop, train, deploy, and monitor models across various frameworks like PyTorch, TensorFlow, and scikit-learn.
Key capabilities and benefits of ModelFoundry include:
- Model Registry - Store, version, and track all model artifacts like code, datasets, metrics etc.
- Automated Model Building - Build and recreate models with custom Docker containers.
- Collaboration Tools - Manage access and permissions for teams to collaborate.
- Model Deployment - Use pre-made deployment templates to serve models via REST and gRPC endpoints.
- Monitoring & Drift Detection - Monitor production models for data drift to maintain quality.
- Model Insights - Get detailed analytics on model performance and fairness.
- Open Source - Free and available under the Apache 2.0 license.
With its end-to-end platform, ModelFoundry accelerates the development and oversight of impactful, ethical and scalable AI systems for both small teams and enterprises.