Skill 디렉토리

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작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: movie-scrapper

영문 디렉토리

:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.

5.0K
Stars
85/100
신뢰
카테고리: media-automation감사

Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb (to which we are not affiliated in any way) movie database about movies, people, characters and companies

1.3K
Stars
83/100
신뢰
카테고리: data-analysis감사

Movie metadata scraper

3.6K
Stars
75/100
신뢰
카테고리: web-automation감사

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

400
Stars
69/100
신뢰
카테고리: web-automation감사

Agentic, long-horizon visual generation: a fuzzy story → a cross-model-audited image-based movie. Brings ARIS's research-wiki + multi-agent debate to multimodal generation (intelligence lives in the agent; the diffusion model just renders). Image-based today, video next.

46
Stars
69/100
신뢰
카테고리: utility감사

从无到有构建一个电影知识图谱,并基于该KG,开发一个简易的KBQA程序。

1.3K
Stars
67/100
신뢰
카테고리: rag-knowledge감사

This library generate an Mp4 movie using Android MediaCodec API and apply filter, scale, trim, transcode, crop, timeScale, mute and rotate Mp4.

978
Stars
63/100
신뢰
카테고리: media-automation감사

Builds and designs React Native Nitro Modules with Nitrogen, HybridObject TypeScript specs, Nitro View components, generated native implementations, zero-copy and native-state APIs, Swift/Kotlin/C++ bindings, example apps, and testing. Use when creating a Nitro Module, adding or reviewing HybridObjects, building a Nitro View (HybridView) component, designing Nitro-specific public APIs, implementing native functionality, or setting up the nitrogen codegen pipeline. Pair with api-design for general library API shape.

161
Stars
69/100
신뢰
카테고리: research감사

Generates, optimizes, and validates Cypher 25 queries for Neo4j 2025.x and 2026.x.

101
Stars
63/100
신뢰
카테고리: automation감사

使用机器学习算法的电影推荐系统以及票房预测系统

341
Stars
57/100
신뢰
카테고리: ml-automation감사

基于seq2seq模型的简单对话系统的tf实现,具有embedding、attention、beam_search等功能,数据集是Cornell Movie Dialogs

335
Stars
59/100
신뢰
카테고리: support-automation감사

Web scraper with a simple REST API living in Docker and using a Headless browser and Readability.js for parsing.

321
Stars
62/100
신뢰
카테고리: web-automation감사