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Interpreting Neural Networks
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Interpreting Neural Networks
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  1. Non-local_pytorch Non-local_pytorch Public

    Forked from AlexHex7/Non-local_pytorch

    Implementation of Non-local Block.

    Python

  2. pytorch-retinanet pytorch-retinanet Public

    Forked from kuangliu/pytorch-retinanet

    RetinaNet in PyTorch

    Python

  3. Detectron Detectron Public

    Forked from facebookresearch/Detectron

    FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

    Python

  4. deformable-convolution-pytorch deformable-convolution-pytorch Public

    Forked from 1zb/deformable-convolution-pytorch

    PyTorch implementation of Deformable Convolution

    Cuda

  5. caffe caffe Public

    Forked from BVLC/caffe

    Caffe: a fast open framework for deep learning.

    C++

  6. caffe2 caffe2 Public

    Forked from facebookarchive/caffe2

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

    Jupyter Notebook