ppengtang

ppengtang's Stars

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.2k2.1k4.8k18.7k

• PaddlePaddle/Paddle

  PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

  Language:C++22.4k71718.5k5.6k

• kjw0612/awesome-deep-vision

  A curated list of deep learning resources for computer vision

  10.9k1.1k282.8k

• rbgirshick/py-faster-rcnn

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

  Language:Python8.2k2939054.1k

• openimages/dataset

  The Open Images dataset

  Language:Python4.3k20589602

• rbgirshick/fast-rcnn

  Fast R-CNN

  Language:Python3.4k1961721.6k

• shelhamer/fcn.berkeleyvision.org

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

  Language:Python3.3k18401.5k

• bgshih/crnn

  Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

  Language:Lua2.1k79154552

• floydhub/dl-setup

  Instructions for setting up the software on your deep learning machine

  2k11010325

• s9xie/hed

  code for Holistically-Nested Edge Detection

  Language:C++1.8k6694529

• daijifeng001/R-FCN

  R-FCN: Object Detection via Region-based Fully Convolutional Networks

  Language:Matlab1.2k8068540

• dmlc/minpy

  NumPy interface with mixed backend execution

  Language:Python1.1k6296110

• pdollar/edges

  Structured Edge Detection Toolbox

  Language:Matlab8295235364

• yjxiong/caffe

  A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

  Language:C++55164181153

• junhyukoh/caffe-lstm

  LSTM implementation on Caffe

  Language:C++4936128249

• ShaoqingRen/SPP_net

  SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

  Language:Matlab3644556237

• pathak22/ccnn

  [ICCV 2015] Framework for optimizing CNNs with linear constraints for Semantic Segmentation

  Language:C++646327

• bgshih/tf_resnet_cifar

  Deep residual learning on CIFAR10 with TensorFlow

  Language:Python636120

• antran89/my-very-deep-caffe

  This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

  Language:C++21349

• bgshih/vgg16.tf

  VGG16 model in tensorflow, with NCHW tensor layout.

  Language:Python12510

• ppengtang/ESMIR

  Codes of the paper "Learning Extremely Shared Middle-level Image Representation for Scene Classification"

  Language:C9101

• speedinghzl/smashing_android_ui_example_app

  210

• speedinghzl/darknet

  Convolutional Neural Networks

  Language:C120

• speedinghzl/PhotoVine

  120

• speedinghzl/spring-framework

  The Spring Framework

  Language:Java110

• speedinghzl/test

  leancloud样例代码

  120