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Caffe: a fast open framework for deep learning.
C++ Python Cuda CMake Protocol Buffer MATLAB Other
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.github Add Github issue template to curb misuse. Nov 3, 2016
cmake cmake: rename libproto.a -> libcaffeproto.a May 15, 2017
data Merge pull request BVLC#4455 from ShaggO/spaceSupportILSVRC12MNIST Jul 14, 2016
docker Docker update to cuDNN 6 Apr 14, 2017
docs Merge pull request BVLC#5753 from CDLuminate/docs-update-deb-ub Aug 3, 2017
examples update deprecated pandas call Jul 12, 2017
include/caffe Rewrite crop cuda kernel Apr 19, 2017
models BVLC -> BAIR Apr 14, 2017
python Merge pull request BVLC#5530 from willyd/nccl-py3 Apr 15, 2017
scripts Downgrade boost requirement from 1.55 to 1.54 May 12, 2017
src Fix MultiGPU hangs when interrupting training Aug 5, 2017
tools Merge pull request BVLC#2612 from ih4cku/master Apr 14, 2017
.Doxyfile update doxygen config to stop warnings Sep 3, 2014
.travis.yml Stop setting cache timeout in TravisCI Jul 15, 2016
CMakeLists.txt Caffe 1.0 Apr 14, 2017 [docs] add which will appear on GitHub new Issue/PR p… Jul 30, 2015 BVLC -> BAIR Apr 14, 2017 installation questions -> caffe-users Oct 19, 2015
LICENSE copyright spans 2014-2017 Jan 19, 2017
Makefile Caffe 1.0 Apr 14, 2017
Makefile.config.example Add Pascal CUDA architectures to Makefile.config.example Feb 9, 2017 Update Jun 20, 2017
caffe.cloc [fix] stop cloc complaint about cu type Sep 4, 2014


Build Status License

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.

Check out the project site for all the details like

and step-by-step examples.

Custom distributions


Join the chat at

Please join the caffe-users group or gitter chat to ask questions and talk about methods and models. Framework development discussions and thorough bug reports are collected on Issues.

Happy brewing!

License and Citation

Caffe is released under the BSD 2-Clause license. The BAIR/BVLC reference models are released for unrestricted use.

Please cite Caffe in your publications if it helps your research:

  Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
  Journal = {arXiv preprint arXiv:1408.5093},
  Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
  Year = {2014}
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