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ModelFoundry

ModelFoundry is an open-source platform for developing, training, and deploying AI models. It provides tools to build, visualize, version, and monitor models with integrated lifecycle management.

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.

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