Jiang's Projects
Code and hyperparameters for the paper "Generative Adversarial Networks"
basic data structure and algorithms
A curated list of object proposals resources for object detection
This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.
Caffe: a fast open framework for deep learning.
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.
Caffe models in TensorFlow
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Open-source simulator for autonomous driving research.
ML&DL impl code
using to do preparation for get the fg of pic
Convolutional Neural Networks
Deep Residual Learning for Image Recognition
DeepLab v2 support cudnn-v5
Deformable Convolutional Networks + MST + Soft-NMS
Tensorflow Implementation of state-of-art semantic segmentation nets
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
C/C++ library for retrieving information on files and directories
Fully Convolutional Instance-aware Semantic Segmentation
starter from "How to Train a GAN?" at NIPS2016
Recovery surface normal from monocular image, training with CNNs and hypercolumns
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
my blog page
kaggle competition
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Instance-aware Semantic Segmentation via Multi-task Network Cascades
MobileNet build with Tensorflow
MobileNet-v2 experimental network description for caffe