Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: xview-2018

Englisches Verzeichnis

Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.

18K
Stars
87/100
Trust
Kategorie: design-creativeAudit

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

20K
Stars
86/100
Trust
Kategorie: ml-automationAudit

All notes and materials for the CS229: Machine Learning course by Stanford University

3.3K
Stars
71/100
Trust
Kategorie: ml-automationAudit

Free open public domain football datasets in the Football.TXT format for the World Cup (incl. Canada/USA/Mexico 2026, Qatar 2022, Russia 2018, Brazil 2014, etc.) and World Cup Quali(fiers)

634
Stars
73/100
Trust
Kategorie: sports-analyticsAudit

Free open public domain football data for the world cups (national teams & clubs) in JSON incl. Canada/USA/Mexico 2026, USA 2025, Qatar 2022, Russia 2018 and more - No API key required ;-)

474
Stars
65/100
Trust
Kategorie: sports-analyticsAudit

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

1.7K
Stars
68/100
Trust
Kategorie: robotics-iotAudit

xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

333
Stars
69/100
Trust
Kategorie: ml-automationAudit

A parallel application binary interface for Fortran 2018 compilers.

268
Stars
67/100
Trust
Kategorie: geo-scienceAudit

Code and Data for the First Edition of "Practical SQL" by Anthony DeBarros, published by No Starch Press (2018).

696
Stars
65/100
Trust
Kategorie: data-analysisAudit

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

469
Stars
62/100
Trust
Kategorie: robotics-iotAudit

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

957
Stars
60/100
Trust
Kategorie: data-analysisAudit