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caffe

Caffe: a fast open framework for deep learning.

caffe-mobilenet

A caffe implementation of mobilenet's depthwise convolution layer.

caffe-posenet

Implementation of PoseNet

caffe-yolo9000

Caffe for YOLOv2 & YOLO9000

darknet

Convolutional Neural Networks

DCL

Destruction and Construction Learning for Fine-grained Image Recognition

ENet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

gitskills

google_inception_v3_for_caffe

Google Inception (deepdream) v3 for Caffe

HRNet-MaskRCNN-Benchmark

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

learngit

mmdetection

Open MMLab Detection Toolbox and Benchmark

MobileNet-Caffe

Caffe Implementation of Google's MobileNets

MobileNet-SSD

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

NewNetServer

Paddle

PArallel Distributed Deep LEarning （PaddlePaddle核心框架，高性能单机、分布式训练和跨平台部署）

PaddleClas

A treasure chest for image classification powered by PaddlePaddle

PaddleDetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

ShuffleNet

This is a fast caffe implementation of ShuffleNet.

simplified_mobilenet

A simplify version of mobilenet, with less group and feature maps, trained on Imagenet.

SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters