Machine Learning (ML) Model Versioning Tools
- 01. Git is an open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
- 02. Data Version Control (DVC) - Manage and version images, audio, video, and text files in storage and organize your ML modeling process into a reproducible workflow.
- 03. MLflow - Build better models and generative AI apps on a unified, end-to-end, open source MLOps platform
- 04. Pachyderm - Automate Complex Pipelines with sophisticated data transformations
- 05. neptune.ai - Track, compare and share experiments, version production-ready models, and easily integrate with any MLOps tool stack
- 06. Polyaxon - Reproduce, automate, and scale your data science workflows with production-grade MLOps tools.
- 07. The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable.
- 08. Continuous Machine Learning (CML) is CI/CD for Machine Learning Projects
- 09. Comet’s machine learning platform integrates with your existing infrastructure and tools so you can manage, visualize, and optimize models—from training runs to production monitoring.
- 10. Guild AI brings systematic control to machine learning to help you build better models faster.