ML Kit vs. MLflow vs. Deepo

  • -
  • 12
  • 238
  • -
  • -
  • 14
  • -
  • 16
  • 0
No public GitHub repository stats available

What is ML Kit?

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

What is MLflow?

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

What is Deepo?

Deepo is a Docker image with a full reproducible deep learning research environment. It contains most popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.
Why do developers choose ML Kit?
Why do you like ML Kit?

Why do developers choose MLflow?
Why do you like MLflow?

Why do developers choose Deepo?
Why do you like Deepo?

What are the cons of using ML Kit?
No Cons submitted yet for ML Kit
Downsides of ML Kit?

What are the cons of using MLflow?
No Cons submitted yet for MLflow
Downsides of MLflow?

What are the cons of using Deepo?
No Cons submitted yet for Deepo
Downsides of Deepo?

Want advice about which of these to choose?Ask the StackShare community!

What companies use ML Kit?
1 companies on StackShare use ML Kit
What companies use MLflow?
1 companies on StackShare use MLflow
What companies use Deepo?
0 companies on StackShare use Deepo
No integrations listed yet
No integrations listed yet
What tools integrate with Deepo?
3 tools on StackShare integrate with Deepo

What are some alternatives to ML Kit, MLflow, and Deepo?

  • TensorFlow - Open Source Software Library for Machine Intelligence
  • scikit-learn - Easy-to-use and general-purpose machine learning in Python
  • Keras - Deep Learning library for Theano and TensorFlow
  • PyTorch - A deep learning framework that puts Python first

See all alternatives to ML Kit



Interest Over Time