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crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

datamining

learn in datamining

dcsm

dcsp_segmentation

deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-tricks

Enumerate diverse machine learning training tricks.

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-visualization-toolbox

DeepVis Toolbox

deep3d

Automatic 2D-to-3D Video Conversion with CNNs

deep_inside_convolutional_networks

This is a caffe implementation to visualize the learnt model

deepdream

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepsaliency

Source Code and Model for DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

dien

discogan

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

dobashi-clouds

An implementation of Y. Dobashi et al. A simple, Efficient Method for Realistic Animation of Clouds.

dss

code for "Deeply supervised salient object detection with short connections" published in CVPR 2017

dss_crf

epic

Dense Semantic Correspondence where Every Pixel is a Classifier

examples

Examples for the OpenGL Red Book

face-identification-tpe

Face identification using CNN + TPE written with Keras

face_recognition

face recognition by several traditional methods and CNN

facenet

Face recognition using Tensorflow

faster_rcnn

Faster R-CNN

fcn.berkeleyvision.org

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