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spf13-vim

The ultimate vim distribution

sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

spice

Semantic Propositional Image Caption Evaluation

spoken-language-identification

spp_net

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

squeezenet-neural-style-pytorch

Lightweight implementation of neural style in Pytorch with SqueezeNet

squeezenet_demo

srez

Image super-resolution through deep learning

srgan

Implementation of [Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802v2]

srgan-1

A tensorflow implemenation of Christian et al's SRGAN(super-resolution generative adversarial network)

srn_multilabel

ss-gan

Style and Structure GAN (ECCV 2016)

sscnet

Semantic Scene Completion from a Single Depth Image

ssd-plate_detection

SSD-based plate detection

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector.

ssd_keras

Port of Single Shot MultiBox Detector to Keras

ssd_scene_text_detection

Detect text in natural images with SSD, Single Shot Detection

ssd_tensorflow

SSD implementation in development in TensorFlow

ssd_tensorflow_traffic_sign_detection

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

ssd_tensorflow_voc

ssh

SSH: Single Stage Headless Face Detector

ssh-face-detector

SSH Face Detector in Keras

ssh-tensorflow

This is a TensorFlow implementation of SSH: Single Stage Headless Face Detector

ssha-tensorflow

TensorFlow implementation of SSH and add face keypoints localization

ssr-net

[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

sstd

🔥 Single Shot Text Detector with Regional Attention

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stack-rnn

This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.