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  1. NVIDIA/DIGITS

    Deep Learning GPU Training System

    HTML 2.4k 870

  2. StitcHD

    Texas A&M CSCE 483 Senior Design Project. In association with NASA's CHI group.

    C++ 90 54

  3. caffe2/caffe2

    Caffe2 is a lightweight, modular, and scalable deep learning framework.

    Jupyter Notebook 5.3k 1.1k

  4. BVLC/caffe

    Caffe: a fast open framework for deep learning.

    C++ 19.4k 11.9k

1,159 contributions in the last year

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Contribution activity First pull request First issue First repository Joined GitHub

August 2017

lukeyeager has no activity yet for this period.

July 2017

Created a pull request in caffe2/caffe2 that received 5 comments

Docker: add Dockerfile.cuda

In case anyone is interested, here's what I'm currently using for development on master. For comparison, see Dockerfiles from other frameworks.

+61 −0 • 5 comments
Created an issue in caffe2/caffe2 that received 1 comment

Failing test: test_imageinput

__________________________ TestImport.test_imageinput __________________________ self = <caffe2.python.operator_test.image_input_op_test.TestImport…

1 comment
4 contributions in private repositories Jul 20 – Jul 25

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