tubbz-alt Goto Github PK

sppsi_cppf

Simulate microstructure evolution using the coupled CP and PF methods for the SPPSI project.

spreader

Spreader Web Project

spreader-1

A scalable push library for Laravel with a better Response handling

spreeder

Read faster than ever before.

spresense_evk-701_recorder

Available in Arduino development environment. Data logger for Sony's IoT development board SPRESENSE.

spring-security-ntlm

Spring Security - NTLM Support

springfox-swagger-ui

This is the repository extending the Springfox Swagger UI package to meet CDC browser requirements.

springlinux

Spring Linux Live Iso

sprint-reader-chrome

A speed reading Google Chrome extension (via Rapid Serial Visual Presentation).

sprint_statistics

spruton-core

Open-source web based Business Management Software for companies of all sizes.

spyclient

Airspy SpyServer client implementation for Python 3.

sql-docs

Technical documentation for Microsoft SQL Server, tools such as SQL Server Management Studio (SSMS) , SQL Server Data Tools (SSDT) etc.

sqli

General Scripts to help with various types of SQL Injection

sqlserver-kit

Useful links, scripts, tools and best practice for Microsoft SQL Server Database

sr-navigator

WEB control panel for SIM card aggregators: SIM Roulette Nano, SIM Roulette Train

sr4rs

Superresolution ResNet

sra-tools

SRA Tools

src

IDAPython project for Hex-Ray's IDA Pro

src-1

Public git conversion mirror of OpenBSD's official CVS src repository. Pull requests not accepted - send diffs to the tech@ mailing list.

srdet

srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

srgan-1

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

srgan-2

srgan-3

Implementation of SRGAN for Single Image Super Resolution

srgan-4

srgan-5

super-resolution gan following https://arxiv.org/abs/1609.04802

srgan-for-super-resolution-and-image-enhancement

Super-Resolution Generative Adversarial Networks (SRGAN) is a deep learning application to generate high resolution (HR) images from low resolution (LR) image. In this work, we use SRGAN to up-scale 32x32 images to 128x128 pixels. Meanwhile, we evaluate the impact of different camera parameters on the quality of final up-scaled (high resolution) images and infer from these stimuli to understand what the network is able to learn.

srgan-keras

Single Image Super-Resolution using a Generative Adverserial Network on Celeb Data in Keras

srgan-keras-google-colab