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