What is Lobe?

An easy-to-use visual tool that lets you build custom deep learning models, quickly train them, and ship them directly in your app without writing any code.

What is MLflow?

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

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Why do developers choose Lobe?

Why do developers choose MLflow?

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What are the cons of using Lobe?

What are the cons of using MLflow?

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What companies use Lobe?

What companies use MLflow?

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What are some alternatives to Lobe and MLflow?

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/

PyTorch

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.

ML Kit

ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.

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What tools integrate with Lobe?

What tools integrate with MLflow?