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MLflow
MLflow

12
23
+ 1
0
TransmogrifAI
TransmogrifAI

3
10
+ 1
0
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MLflow vs TransmogrifAI: What are the differences?

What is MLflow? An open source machine learning platform. MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

What is TransmogrifAI? Automated machine learning for structured data (by Salesforce). TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning.

MLflow and TransmogrifAI can be primarily classified as "Machine Learning" tools.

MLflow and TransmogrifAI are both open source tools. TransmogrifAI with 1.56K GitHub stars and 264 forks on GitHub appears to be more popular than MLflow with 20 GitHub stars and 11 GitHub forks.

What is MLflow?

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

What is TransmogrifAI?

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning
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          What tools integrate with MLflow?
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          What are some alternatives to MLflow and TransmogrifAI?
          Kubeflow
          The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.
          Airflow
          Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
          TensorFlow
          TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
          scikit-learn
          scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
          Keras
          Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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