MLflow: An Open Source Machine Learning Platform
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MLflow: An Open Source Machine Learning Platform
1–10 of 31 posts
Re: MLflow: An Open Source Machine Learning Platform
#2FYI typo: mlflow.log_atrifact("roc.png")
Re: MLflow: An Open Source Machine Learning Platform
#3What are the current open source alternatives to MLflow?
Re: MLflow: An Open Source Machine Learning Platform
#4What are the current open source alternatives to MLflow?
https://www.mlflow.org is open source.
Re: MLflow: An Open Source Machine Learning Platform
#5Re: MLflow: An Open Source Machine Learning Platform
#6What are the current open source alternatives to MLflow?
[deleted]
Re: MLflow: An Open Source Machine Learning Platform
#7What are the current open source alternatives to MLflow?
Polyaxon, https://github.com/polyaxon/polyaxon, is an alternative project to MLFlow that is also open source.
disclaimer: I am the author of Polyaxon.
Re: MLflow: An Open Source Machine Learning Platform
#8So, what MLflow can do more efficiently, than Tensorflow?
Re: MLflow: An Open Source Machine Learning Platform
#9What are the current open source alternatives to MLflow?
Polyaxon, https://github.com/polyaxon/polyaxon , is an alternative project to MLFlow that is also open source. disclaimer: I am the author of Polyaxon.
I've been using Polyaxon to train models for spaCy. It uses Kubernetes, so it's easy to set it up to work very efficiently on Google Compute Engine. For instance, you can set it to use pre-emptible instances, which makes the experiments very cheap.
Re: MLflow: An Open Source Machine Learning Platform
#10What are the current open source alternatives to MLflow?
Sacred (https://github.com/IDSIA/sacred)
FGLab (https://kaixhin.github.io/FGLab/)
Metricmachine (https://github.com/danielwaterworth/metricmachine)
Non-open source:
Neptune (http://neptune.ml)
Aetros (https://aetros.com/trainer)