A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
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Updated
Aug 3, 2019 - Python
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A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
Nim plugin for NeoVim
A (work-in-progress) guide to the methodology behind Made Tech Flavoured Clean Architecture
Galio's starter kit is an app you can use to see what you can create with our library
A juicy feature-packed debug menu intended for games.
WIP & naenae: CLI utilities to easily manage Work In Progress with Git
An introduction to recommendation systems in Python
Graphics engine written in Haskell.
A simple CLI for UPnP media file streaming
System V-style runlevels for your Go daemons
VSCode extension for highlighting XSLT and XPath (upto 3.0/3.1)
Linguistic Datasets for Portuguese: Lista de conjuntos de dados linguísticos para língua portuguesa com licença flexíveis: banco de dados, lista de palavras, sinônimos, antônimos, dicionário temático, tesauro, linked data, semântica, ontologia e representação de conhecimento
A Spring Boot microservices reference application using Spring Data JPA
PowerShell Module for OPNsense REST api
vonuvoli Scheme -- an R7RS interpreter written in Rust focused on systems programming and scripting (i.e. processes, file-system, etc.) with performance and safety in mind
Finetune ConvNets with Tensorflow
Linux kernel source with OnePlus 5 (cheeseburger) / 5T (dumpling) mainlining efforts
notes for 'The Algorithm Design Manual' by Steven S. Skiena
LithTech Jupiter System
A work-in-progress music player for the Nintendo 3DS and Nintendo Switch
This is a pretty broad issue aimed at anyone who wants to take a stab at getting started with creating pull requests during Hacktoberfest
What do you need to do to collaborate on streamlib? Easy:
library directoryData-binding made easy
Security audit Python project dependencies against security advisory databases.
The more often you click a word in the headlines, the more interesting are your news.
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It's probably OK to do this when we make a native call for the first time. That way, a stack can say "feature X needs native code, anyone else you can safely use" and users will only get this warning dialog when they actually try to use that feature.