Alternatives and similar repositories for Pytorch-yolov3-prune-v4

Users that are interested in Pytorch-yolov3-prune-v4 are comparing it to the libraries listed below

• jixing0415 / caffe-mobilenet-v3
  Caffe Implementation of MobileNets V3
  ☆130Updated 6 years ago
• Longqi-S / Focal-Loss
  The implementation of Focal-Loss Using Caffe
  ☆37Updated 7 years ago
• hjimce / darknet_mobilenet
  mobilenet 与darknet yolo
  ☆97Updated 7 years ago
• suzhenghang / MobileNetv2
  ☆147Updated 6 years ago
• chuanqi305 / FocalLoss
  Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.
  ☆172Updated 7 years ago
• farmingyard / caffe-mobilenet
  A caffe implementation of mobilenet's depthwise convolution layer.
  ☆145Updated 7 years ago
• hjimce / compress_yolo
  对yolo模型进行网络压缩、修剪等实验
  ☆51Updated 7 years ago
• binLearning / caffe_toolkit
  Caffe toolkit, including installing Caffe, creating various networks.
  ☆47Updated 7 years ago
• anlongstory / ShuffleNet_V2-caffe
  This is caffe implementation of shuffleNet V2
  ☆69Updated 6 years ago
• lidc54 / SSD_data_augment
  SSD(single shot multibox detector) data augment -- python
  ☆18Updated 6 years ago
• zunzhumu / darknet-mobilenet
  mobilenet model in darknet framework , MobilenetYOLO, compress mobilenet
  ☆125Updated 7 years ago
• chuanqi305 / SqueezeNet-SSD
  SSD detection network of SqueezeNet, with pretrained weights on VOC0712 and mAP=0.643
  ☆64Updated 7 years ago
• unsky / Deformable-ConvNets-caffe
  Deformable Convolutional Networks on caffe
  ☆160Updated 7 years ago
• zimenglan-sysu-512 / Focal-Loss
  loss layer of implementation
  ☆124Updated 7 years ago
• timctho / shufflenet-v2-tensorflow
  Tensorflow ShuffleNet v2 implementation
  ☆75Updated 6 years ago
• raytroop / YOLOv3_tf
  Try to implement YOLOv3 with TensorFlow
  ☆67Updated 7 years ago
• NHZlX / Merge_bn_Caffe
  Merge Batch Norm caffe
  ☆64Updated 6 years ago
• neuleaf / MobileNetV2
  A Tensorflow implementation of MobileNet V2
  ☆151Updated 6 years ago
• KimSoybean / ScratchDet
  The code and models for paper: "ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch"
  ☆228Updated 6 years ago
• rog93 / Caffe-MobileNetV2-ReLU6
  Caffe implementation of ReLU6 Layer
  ☆46Updated 7 years ago
• miraclewkf / FocalLoss-MXNet
  ☆50Updated 7 years ago
• austingg / MobileNet-v2-caffe
  MobileNet-v2 experimental network description for caffe
  ☆99Updated 6 years ago
• Cw-zero / TensorRT_yolo3
  use TensorRT accelerate yolo3
  ☆121Updated 6 years ago
• cypw / MXNet2Caffe
  Convert MXNet model to Caffe model
  ☆163Updated 6 years ago
• BingzheWu / object_detetction_tools
  ☆44Updated 6 years ago
• makefile / frcnn
  Faster R-CNN / R-FCN C++ version based on Caffe
  ☆184Updated 6 years ago
• wentianli / knowledge_distillation_caffe
  KnowledgeDistillation Layer (Caffe implementation)
  ☆89Updated 8 years ago
• chengyangfu / caffe
  Caffe: a fast open framework for deep learning.
  ☆169Updated 8 years ago
• tostq / Caffe-Python-Tutorial
  A Basic Tutorial to learning Caffe with Python, including two examples for classification and detection, and codes to train, test, prune …
  ☆139Updated 8 years ago
• canteen-man / MobileNet-SSD-Focal-loss
  MobileNet-SSD-Focal-loss
  ☆61Updated 5 years ago