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Automated machine learning for structured data (by Salesforce)
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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
TransmogrifAI is a tool in the Machine Learning Tools category of a tech stack.
TransmogrifAI is an open source tool with 2.1K GitHub stars and 373 GitHub forks. Here’s a link to TransmogrifAI's open source repository on GitHub

Who uses TransmogrifAI?


5 developers on StackShare have stated that they use TransmogrifAI.

TransmogrifAI Integrations

TransmogrifAI Alternatives & Comparisons

What are some alternatives to TransmogrifAI?
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.
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
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