szhu122

szhu122's Stars

• szq0214/DSOD

  DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

  Language:Python704210

• liuzhuang13/DenseNet

  Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

  Language:Lua4.7k1.1k

• Jumabek/darknet_scripts

  Auxilary scripts to work with (YOLO) darknet deep learning famework. AKA -> How to generate YOLO anchors?

  Language:Python22396

• amdegroot/ssd.pytorch

  A PyTorch Implementation of Single Shot MultiBox Detector

  Language:Python5.1k1.7k

• gaohuang/MSDNet

  Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

  Language:Lua46195

• gpleiss/efficient_densenet_pytorch

  A memory-efficient implementation of DenseNets

  Language:Python1.5k328

• thtrieu/darkflow

  Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

  Language:Python6.1k2.1k

• experiencor/keras-yolo2

  Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

  Language:Jupyter Notebook1.7k785

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python22.6k6.3k

• allanzelener/YAD2K

  YAD2K: Yet Another Darknet 2 Keras

  Language:Python2.7k877

• luanfujun/deep-photo-styletransfer

  Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

  Language:Matlab10k1.4k

• Banus/caffe-yolo

  YOLO (Real-Time Object Detection) in caffe

  Language:Python6830

• hustzxd/z1

  Language:Python3824

• umautobots/vod-converter

  Convert between visual object detection datasets

  Language:Python30793

• AItechnology/caffe-yolo9000

  Caffe for YOLOv2 & YOLO9000

  Language:C++15