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ransack

Object-based searching.

rcnn

R-CNN: Regions with Convolutional Neural Network Features

readcv

Fighting!

recsys

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

residual-attention-convolutional-neural-network

It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper "Residual Attention Network for Image Classification"(https://arxiv.org/pdf/1704.06904.pdf).

resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

resume

An elegant \LaTeX\ résumé template

resume-9

Latex生成的中英文个人简历

revisitop

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

rmac

MATLAB implementation of the R-MAC descriptor and the intergral-max-pooling localization (ICLR 2016 paper)

rmac_revisited

rspapers

Must-read papers on Recommender System.

salbow

Saliency Weighted Convolutional Features for Instance Search

scanner

Efficient video analysis at scale

segphrase

selective_search_ijcv_with_python

Simple Python script to compute Selective Search proposals in Matlab.

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

simhash

中文文档simhash值计算

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

sofa-pbrpc

A light-weight RPC implement of google protobuf RPC framework.

sotu

A flask-based cbir system

spread-out_local_feature_descriptor

Code for Learning Spread-out Local Feature Descriptors

stanford-cs20si-tensorflow-for-deep-learning-research

subic

Tensorflow implementation of a supervised approach to learn highly compressed image representations

supervised-hashing-baselines

How should we evaluate supervised hashing

supervised-hashing-with-kernels

synthtext

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

tensorflow

Computation using data flow graphs for scalable machine learning