MLReef/mlreef
The collaboration workspace for Machine Learning
This platform helps machine learning engineers and data scientists collaboratively build, manage, and deploy machine learning models. It takes your raw data and Python code for ML models, then manages data versioning, script containerization, experiment tracking, and ML pipeline orchestration. The output is reproducible experiments, traceable model development, and automated deployment.
1,456 stars. No commits in the last 6 months.
Use this if you are a machine learning team looking for a unified workspace to manage the entire lifecycle of your ML projects, from data to deployment, ensuring collaboration and reproducibility.
Not ideal if you are an individual practitioner working on small, isolated machine learning projects without the need for team collaboration, version control, or production deployment features.
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Language
Kotlin
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Last pushed
Nov 01, 2022
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