Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: mulit-modal

Direktori bahasa Inggris

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
Kepercayaan
Kategori: design-creativeAudit

Superfast AI decision making and intelligent processing of multi-modal data.

3.6K
Stars
76/100
Kepercayaan
Kategori: robotics-iotAudit

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.

1.7K
Stars
83/100
Kepercayaan
Kategori: rag-knowledgeAudit

SALMONN family: A suite of advanced multi-modal LLMs

1.5K
Stars
77/100
Kepercayaan
Kategori: media-automationAudit

A voice chat app

1.2K
Stars
77/100
Kepercayaan
Kategori: media-automationAudit

Local-first Video Knowledge Base. Index your video library with multi-modal analysis (YOLO, DeepFace, Whisper), search semantically via natural language, Docker-ready.

1.6K
Stars
73/100
Kepercayaan
Kategori: robotics-iotAudit

Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment

1.5K
Stars
74/100
Kepercayaan
Kategori: media-automationAudit

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

3.4K
Stars
71/100
Kepercayaan
Kategori: ml-automationAudit

mPLUG-Owl: The Powerful Multi-modal Large Language Model Family

2.5K
Stars
71/100
Kepercayaan
Kategori: support-automationAudit

A modular active learning framework for Python

2.4K
Stars
68/100
Kepercayaan
Kategori: ml-automationAudit

SDK libraries for Modal

481
Stars
69/100
Kepercayaan
Kategori: ml-automationAudit

A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.

473
Stars
70/100
Kepercayaan
Kategori: ml-automationAudit