Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: consensus-algorithm

英語版ディレクトリ

Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.

17K
Stars
87/100
信頼
カテゴリ: web3-analytics監査

⟁ Tendermint Core (BFT Consensus) in Go

5.9K
Stars
81/100
信頼
カテゴリ: web3-analytics監査

🌟100+ 原创 LLM / RL 原理图📚,《大模型算法》作者巨献!💥(100+ LLM/RL Algorithm Maps )

4.5K
Stars
74/100
信頼
カテゴリ: ml-automation監査

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

2.2K
Stars
85/100
信頼
カテゴリ: ml-automation監査

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

1.6K
Stars
84/100
信頼
カテゴリ: rag-knowledge監査

🌟 Ethereum Consensus client for the Zig and TypeScript ecosystem

1.4K
Stars
80/100
信頼
カテゴリ: web3-analytics監査

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

1.3K
Stars
79/100
信頼
カテゴリ: finance監査

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

4.0K
Stars
83/100
信頼
カテゴリ: ml-automation監査

Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.

3.2K
Stars
72/100
信頼
カテゴリ: Finance監査

Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.

2.7K
Stars
72/100
信頼
カテゴリ: Finance監査

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

13K
Stars
71/100
信頼
カテゴリ: data-analysis監査

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

34K
Stars
80/100
信頼
カテゴリ: research監査