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Add Aeromancy, adjust MLFlow capitalization #102

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Jul 24, 2024
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3 changes: 2 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -275,13 +275,14 @@ Inspired by [awesome-python](https://github.com/vinta/awesome-python).

*Tools for managing model lifecycle (tracking experiments, parameters and metrics).*

* [Aeromancy](https://quant-aq.github.io/aeromancy/): Aims to maximize reproducibility while minimizing friction (built on top of [Weights and Biases](https://github.com/wandb/client)).
* [Aim](https://github.com/aimhubio/aim) - A super-easy way to record, search and compare 1000s of ML training runs.
* [Cascade](https://github.com/Oxid15/cascade) - Library of ML-Engineering tools for rapid prototyping and experiment management.
* [Comet](https://github.com/comet-ml) - Track your datasets, code changes, experimentation history, and models.
* [Guild AI](https://guild.ai/) - Open source experiment tracking, pipeline automation, and hyperparameter tuning.
* [Keepsake](https://github.com/replicate/keepsake) - Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
* [Losswise](https://losswise.com) - Makes it easy to track the progress of a machine learning project.
* [Mlflow](https://mlflow.org/) - Open source platform for the machine learning lifecycle.
* [MLflow](https://mlflow.org/) - Open source platform for the machine learning lifecycle.
* [ModelDB](https://github.com/VertaAI/modeldb/) - Open source ML model versioning, metadata, and experiment management.
* [Neptune AI](https://neptune.ai/) - The most lightweight experiment management tool that fits any workflow.
* [Sacred](https://github.com/IDSIA/sacred) - A tool to help you configure, organize, log and reproduce experiments.
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