A public Python implementation for generating Dynamic Images introduced in 'Dynamic Image Networks for Action Recognition' by Bilen et al.
A distributed task scheduler for Dask
Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.
Practical examples of software and testing patterns related to mutation testing
Automatically exported from code.google.com/p/python-for-android
This support code is used for making the MXNet framework run on Amazon SageMaker.
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