ZenML is an open-source library designed to simplify the management of machine learning (ML) workflows. It helps track, version, and reproduce ML pipelines, making collaboration and experiment management easier. ZenML integrates with various machine learning frameworks and tools, providing a standardized interface for building pipelines.

Features of ZenML:

Manages machine learning workflows with versioning and reproducibility.
Integrates with popular ML frameworks, such as TensorFlow, PyTorch, and scikit-learn.
Tracks experiments and pipelines for easier collaboration.
Facilitates model and data tracking, ensuring consistent results.

First activate the environment, run: source /opt/zenml/venv/bin/activate

To check ZenML version, run:

$ cd /opt/zenml

$ source /opt/zenml/venv/bin/activate

$ zenml --version

Disclaimer: ZenML is an open-source project released under a permissive license. It is developed and maintained by the open-source community and contributors. ZenML is provided "as is," without any warranty.

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