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This research aims at simply deploying deeplearning on mobile devices, with low complexity and high speed.

Apache-2.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 84 Commits
.travis		.travis
metal		metal
src		src
test		test
tools		tools
.clang-format		.clang-format
.clang-tidy		.clang-tidy
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
.travis.yml		.travis.yml
CMakeLists.txt		CMakeLists.txt
README.md		README.md
build.sh		build.sh

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Paddle-Mobile

This project is used to develop the next version deep learning freamwork for mobile device.

Old Version of Mobile-Deep-Learning

The old version of MDL was I moved to here Mobile-Deep-Learning

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This research aims at simply deploying deeplearning on mobile devices, with low complexity and high speed.

Apache-2.0 license

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C++ 66.6%
C 16.3%
Swift 11.2%
CMake 3.1%
Metal 1.6%
Shell 0.5%
Other 0.7%