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DistributedDeepLearning
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Distributed Deep Learning using AzureML
460 коммитов 8 Ветки 0 Теги 1,4 MiB
Python 98.3%
Makefile 1%
Shell 0.7%
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miguelgfierro 45bde4efef dockerfile cntk 2018-09-12 13:58:18 +01:00
CNTK dockerfile cntk 2018-09-12 13:58:18 +01:00
Docker 🐛 2018-08-06 10:23:59 +01:00
HorovodKeras Adds validation switch 2018-08-02 10:29:38 +01:00
HorovodPytorch Reducing the number of workers 2018-08-01 16:50:01 +01:00
HorovodTF Adds validation switch to TF 2018-08-02 10:44:08 +01:00
Pytorch Logging updates 2018-09-05 16:13:03 +01:00
_tmp move notebooks to _tmp 2018-08-08 10:47:28 +01:00
cluster_config Adds config to increase shared memory size for PyTorch 2018-07-13 10:50:41 +01:00
common Refactoring to make epxerimentation easier 2018-07-16 09:40:12 +01:00
experiments removed spaces 2018-09-06 16:38:37 +01:00
include removed spaces 2018-09-06 16:38:37 +01:00
.gitignore removed some files 2018-09-06 15:09:55 +01:00
LICENSE Initial commit 2018-03-22 04:15:30 -07:00
Makefile Starting process of moving control plane over to makefiles 2018-07-10 14:01:55 +01:00
README.md Updates readme 2018-07-19 08:38:08 +01:00

README.md

Distributed Deep Learning

This repo contains a number of examples of training a ResNet50 network with the Imagenet dataset in various Deep Learning frameworks.

Horovod + Keras
Horovod + Tensorflow
Horovod + PyTorch

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.