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Fritz
Fritz

0
2
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MLflow
MLflow

11
20
+ 1
0
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Fritz vs MLflow: What are the differences?

Fritz: Mobile machine learning made easy. Fritz is the end-to-end solution for on-device ML. Create ML-powered features in your app with ease and cross-platform support; MLflow: An open source machine learning platform. MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

Fritz and MLflow belong to "Machine Learning Tools" category of the tech stack.

MLflow is an open source tool with 23 GitHub stars and 13 GitHub forks. Here's a link to MLflow's open source repository on GitHub.

- No public GitHub repository available -

What is Fritz?

Fritz is the end-to-end solution for on-device ML. Create ML-powered features in your app with ease and cross-platform support.

What is MLflow?

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
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              What are some alternatives to Fritz 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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