jizexuan Goto Github PK

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly detection.

breast_density_classifier

Breast density classifier

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

cvpr16-deepbit

Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks (CVPR16)

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-visualization-toolbox

DeepVis Toolbox

deepcontext

Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'

densenet

Code for Densely Connected Convolutional Network

digits

Deep Learning GPU Training System

distro

Torch installation in a self-contained folder

dl_tutorials

Deep learning tutorials (2nd ed.)

faster_rcnn

Faster R-CNN

fcn

Fully Convolutional Networks (Chainer Implementation)

feature-visualization

tensorflow example of visualizing features from a convnet

gmm-mml

gmvae

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

joint-unsupervised-learning

Project for our CVPR2016 paper "Joint Unsupervised Learning of Deep Representations and Image Clusters"

jointoptmization

mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

multi-resnet

Multi-Residual Networks

multi-scale-class-activation-map-tensorflow

Weakly Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images

mx-net-tensorflow

r-fcn

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

rbmpaper

experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"

retina-unet

Retina blood vessel segmentation with a convolutional neural network

scn_matlab

Matlab reimplementation of SCNSR

sssanet

S3ANet: Spatial-Scattering Separated Attention Network for Polarimetric SAR Image Classification

tensorflow

Computation using data flow graphs for scalable machine learning

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.