Pinned Repositories
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
algorithms
basic data structure and algorithms
awesome-object-proposals
A curated list of object proposals resources for object detection
CACU
This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.
caffe
Caffe: a fast open framework for deep learning.
carrie
ML&DL impl code
Dense-Pixel-Models-In-Tensorflow
Tensorflow Implementation of state-of-art semantic segmentation nets
Hypercolumns-Based-Surface-Normal-Recovery
Recovery surface normal from monocular image, training with CNNs and hypercolumns
nomal_compute
method used to compute normal from depth or 3d clound points[matlab code]
Style-Transfer-In-Tensorflow
style transfer with both pycaffe and tensorflow
JiangQH's Repositories
JiangQH/Style-Transfer-In-Tensorflow
style transfer with both pycaffe and tensorflow
JiangQH/nomal_compute
method used to compute normal from depth or 3d clound points[matlab code]
JiangQH/awesome-object-proposals
A curated list of object proposals resources for object detection
JiangQH/Hypercolumns-Based-Surface-Normal-Recovery
Recovery surface normal from monocular image, training with CNNs and hypercolumns
JiangQH/algorithms
basic data structure and algorithms
JiangQH/CACU
This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.
JiangQH/caffe
Caffe: a fast open framework for deep learning.
JiangQH/caffe-segnet-cudnn5
This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.
JiangQH/caffe-tensorflow
Caffe models in TensorFlow
JiangQH/concat_img
using to do preparation for get the fg of pic
JiangQH/deep-residual-networks
Deep Residual Learning for Image Recognition
JiangQH/deeplab-v2
DeepLab v2 support cudnn-v5
JiangQH/ENet-training
JiangQH/ganhacks
starter from "How to Train a GAN?" at NIPS2016
JiangQH/kaggle
kaggle competition
JiangQH/MNC
Instance-aware Semantic Segmentation via Multi-task Network Cascades
JiangQH/models
Models built with TensorFlow
JiangQH/mscnn
JiangQH/nn-trajectory-prediction
JiangQH/PSPNet
Pyramid Scene Parsing Network
JiangQH/pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
JiangQH/refinenet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
JiangQH/sceneparsing
Development kit for MIT Scene Parsing Benchmark
JiangQH/search_data
JiangQH/SegNet-Tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
JiangQH/tensorflow-deeplab-resnet
DeepLab-ResNet rebuilt in TensorFlow
JiangQH/tensorflow-resnet
ResNet model in TensorFlow
JiangQH/train-DeepLab
Train DeepLab for Semantic Image Segmentation
JiangQH/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
JiangQH/XNOR-Net
XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe