vowpal_porpoise VS MLflow

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MLflow

• Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations
  1 project | dev.to | 26 Apr 2024

  How can this be? The current state of practice in AI/ML work requires adaptivity, which is uncommon in classical computational fields. There are myriad tools that capture the work across the many instances of the AI/ML lifecycle. The idea that any one tool could sufficiently capture the dynamic work is unrealistic. Take, for example, an experiment tracking tool like W&B or MLFlow; some form of experiment tracking is necessary in typical model training lifecycles. Such a tool requires some notion of a dataset. However, a tool focusing on experiment tracking is orthogonal to the needs of analyzing model performance at the data sample level, which is critical to understanding the failure modes of models. The way one does this depends on the type of data and the AI/ML task at hand. In other words, MLOps is inherently an intricate mosaic, as the capabilities and best practices of AI/ML work evolve.

• My Favorite DevTools to Build AI/ML Applications!
  9 projects | dev.to | 23 Apr 2024

  MLflow is an open-source platform for managing the end-to-end machine learning lifecycle. It includes features for experiment tracking, model versioning, and deployment, enabling developers to track and compare experiments, package models into reproducible runs, and manage model deployment across multiple environments.

• Exploring Open-Source Alternatives to Landing AI for Robust MLOps
  18 projects | dev.to | 13 Dec 2023

  Platforms such as MLflow monitor the development stages of machine learning models. In parallel, Data Version Control (DVC) brings version control system-like functions to the realm of data sets and models.

• cascade alternatives - clearml and MLflow
  3 projects | 1 Nov 2023
• EL5: Difference between OpenLLM, LangChain, MLFlow
  2 projects | /r/LLMDevs | 19 Jun 2023

  MLFlow - http://mlflow.org

• Explain me how websites like Dall-E, chatgpt, thispersondoesntexit process the user data so quickly
  1 project | /r/dataengineering | 17 Jun 2023
• [D] What licensed software do you use for machine learning experimentation tracking?
  1 project | /r/MachineLearning | 11 Jun 2023
• Exploring MLOps Tools and Frameworks: Enhancing Machine Learning Operations
  3 projects | dev.to | 6 Jun 2023

  MLflow:

• Options for configuration of python libraries - Stack Overflow
  2 projects | /r/learnpython | 14 May 2023

  In search for a tool that needs comparable configuration I looked into mlflow and found this. https://github.com/mlflow/mlflow/blob/master/mlflow/environment_variables.py There they define a class _EnvironmentVariable and create many objects out of it, for any variable they need. The get method of this class is in principle a decorated os.getenv. Maybe that is something I can take as orientation.

• [D] Is there a tool to keep track of my ML experiments?
  2 projects | /r/MachineLearning | 13 May 2023

  I have been using DVC and MLflow since then DVC had only data tracking and MLflow only model tracking. I can say both are awesome now and maybe the only factor I would like to mention is that IMO, MLflow is a bit harder to learn while DVC is just a git practically.