AI Agent Skills

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Sup…

Image super resolution models for PyTorch.

Turn a reference video into a super detailed recreation or inspiration prompt. Use when the user provides, mentions, uploads, links, or points to a video and asks to ana…

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

[CVPR'24, Demo Track Honourable Mention] SuperPrimitive: Scene Reconstruction at a Primitive Level

Sitemap focused on ease of use and making it impossible to forget to add your paths. For SvelteKit (and TanStack Start soon!)

Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, GitLab, GitHub and O…

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)

Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

neosr is an open-source framework for training super-resolution models.

A PyTorch Reimplementation of TecoGAN: Temporally Coherent GAN for Video Super-Resolution

面向小白用户的 CTF / 逆向 Skills 整合包：自动分流、头脑风暴、教学模式、比赛模式、只提示模式

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning