This repository lists various frameworks and tools which support developing and managing machine learning models.
- Comet: Track code, experiments and results on ML projects
- DVC: Version control system for machine learning projects
- Flor: Logger and automatic version controller for data scientists
- Guild AI: Run, track, and compare machine learning experiments
- MLflow: Platform for the machine learning lifecycle
- Sacred: Configure, organize, log and reproduce computational experiments
For an extensive evaluation of DVC, MLflow and Sacred have a look at the blog post Frameworks for Machine Learning Model Management by Nico Kreiling.