apache/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia,...

Current tag: 1.6.0 (tagged 1 month ago) | Last push: 2 hours ago | Stargazers: 18421 | Pushes per day: 6
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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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MXNet for CTR

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dataflow 🌿

Efficient Data Loading Pipeline in Pure Python

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dubbo-python 🌿

Python Client For Apache Dubbo

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A public Python implementation for generating Dynamic Images introduced in 'Dynamic Image Networks for Action Recognition' by Bilen et al.

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distributed 🌿

A distributed task scheduler for Dask

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Apache RocketMQ python client

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(no description)

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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.

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Practical examples of software and testing patterns related to mutation testing

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qpid-python 🌿

Mirror of Apache Qpid Python

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Mirror of Apache incubator

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Automatically exported from code.google.com/p/python-for-android

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This support code is used for making the MXNet framework run on Amazon SageMaker.

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mxnet-memonger πŸ‚

Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets

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