Create Machine Learning pipelines with ZenML
Evaluate reward models for math reasoning
Create and upload a Hugging Face model card
Explore and benchmark visual document retrieval models
Create demo spaces for models on Hugging Face
Predict customer churn based on input details
Browse and filter machine learning models by category and modality
View and submit language model evaluations
Convert PaddleOCR models to ONNX format
Calculate GPU requirements for running LLMs
Display and filter leaderboard models
Evaluate and submit AI model results for Frugal AI Challenge
View and submit LLM benchmark evaluations
Zenml Server is a powerful tool designed for creating and managing Machine Learning pipelines. It serves as a central hub for teams to collaborate on ML workflows, ensuring reproducibility and scalability. By leveraging Zenml Server, data scientists and engineers can streamline their workflows, track experiments, and deploy models efficiently.
• Pipeline Orchestration: Define and manage complex ML workflows with ease.
• Experiment Tracking: Keep track of all your experiments in a centralized location.
• Environment Management: Ensure consistency across development and production environments.
• Integration: Seamlessly integrate with popular ML tools and frameworks like Kubeflow, Airflow, and more.
• Collaboration: Enable teams to work together on shared pipelines and experiments.
• Legacy System Support: Work with existing infrastructure and tools.
What makes Zenml Server unique?
Zenml Server provides a unified interface for managing ML workflows, enabling teams to work collaboratively while ensuring reproducibility.
Can Zenml Server integrate with existing tools?
Yes, Zenml Server is designed to work with popular ML tools and frameworks, making it easy to incorporate into your existing workflow.
Is Zenml Server suitable for large teams?
Absolutely! Zenml Server supports scalability and collaboration features, making it ideal for teams of all sizes.