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: beam-splitter

Direktori bahasa Inggris

Apache Beam is a unified programming model for Batch and Streaming data processing.

8.6K
Stars
85/100
Kepercayaan
Kategori: data-analysisAudit

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

7.0K
Stars
84/100
Kepercayaan
Kategori: agent-frameworksAudit

Testable, composable, and adapter based Elixir email library for devs that love piping.

2.0K
Stars
85/100
Kepercayaan
Kategori: productivity-automationAudit

Beam: Scalable Confidential Cryptocurrency. Leading the way to Confidential DeFi

722
Stars
73/100
Kepercayaan
Kategori: web3-analyticsAudit

A type-safe Haskell SQL library

625
Stars
66/100
Kepercayaan
Kategori: data-analysisAudit

Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.

225
Stars
70/100
Kepercayaan
Kategori: devopsAudit

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

836
Stars
66/100
Kepercayaan
Kategori: media-automationAudit

Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.

282
Stars
61/100
Kepercayaan
Kategori: automationAudit

Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.

282
Stars
63/100
Kepercayaan
Kategori: coding-agentsAudit

An AI agent skill for creating animation-rich HTML presentations from scratch or by converting PowerPoint files.

11
Stars
65/100
Kepercayaan
Kategori: presentationAudit

Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph.

101
Stars
69/100
Kepercayaan
Kategori: automationAudit

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
Kepercayaan
Kategori: support-automationAudit