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  1. Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

    Python 417 91

  2. PyTorch Implementation for ResNet, Pre-Activation ResNet, ResNeXt, DenseNet, and Group Normalisation

    Python 346 79

  3. Style Aggregated Network for Facial Landmark Detection, CVPR 2018

    Python 295 62

  4. A curated list of neural architecture search (NAS) resources.

    291 43

  5. PyTorch implementation of "Searching for A Robust Neural Architecture in Four GPU Hours", CVPR 2019

    Python 125 4

  6. faster rcnn c++ version. joint train; please checkout into dev branch (git checkout dev)

    C++ 187 89

695 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri

Contribution activity

May 2019

Created an issue in pytorch/vision that received 6 comments

Incorrect ResNext Model

In the original resnext model paper (, the expansion of their bottleneck block is 2 instead of 4.

25 contributions in private repositories May 1 – May 19

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