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/Dense-Pixel-Models-In-Tensorflow
Tensorflow Implementation of state-of-art semantic segmentation nets
JiangQH/carrie
ML&DL impl code
JiangQH/caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
JiangQH/carla
Open-source simulator for autonomous driving research.
JiangQH/darknet
Convolutional Neural Networks
JiangQH/Deformable-ConvNets
Deformable Convolutional Networks + MST + Soft-NMS
JiangQH/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
JiangQH/dirent
C/C++ library for retrieving information on files and directories
JiangQH/DORN
JiangQH/FCIS
Fully Convolutional Instance-aware Semantic Segmentation
JiangQH/inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
JiangQH/jiangqh.github.io
my blog page
JiangQH/MobileNet
MobileNet build with Tensorflow
JiangQH/MobileNet-v2-caffe
MobileNet-v2 experimental network description for caffe
JiangQH/MobileNetv2
JiangQH/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
JiangQH/ofxDarknet
darknet neural network addon for openFrameworks
JiangQH/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
JiangQH/pedsim
PEDSIM is a microscopic pedestrian crowd simulation system. It is suitable for use in crowd simulations (e.g. indoor evacuation simulation, large scale outdoor simulations), where quantitative measurements like pedestrian density or evacuation time matter. The quality of the individual agent's trajectory is high enough for creating massive pedestrian crowd animations (e.g. for motion pictures or architectural visualization). Since libpedsim is easy to use and extend, it is a good starting point for science projects.
JiangQH/PointCNN
PointCNN
JiangQH/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
JiangQH/PyTorch-Encoding
A CV Toolkit
JiangQH/pytorchviz
A small package to create visualizations of PyTorch execution graphs
JiangQH/ResNet
Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet
JiangQH/SeetaFaceEngine
JiangQH/social-lstm-pytorch
PyTorch implementation of the Social LSTM model
JiangQH/SqueezeNet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
JiangQH/Synchronized-BatchNorm-PyTorch
Synchronized Batch Normalization implementation in PyTorch.
JiangQH/v2ray-core
A platform for building proxies to bypass network restrictions.
JiangQH/vision
Datasets, Transforms and Models specific to Computer Vision