技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: consensus-algorithm

英文目录

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
信任
分类: web3-analytics审计

⟁ Tendermint Core (BFT Consensus) in Go

5.9K
Stars
81/100
信任
分类: web3-analytics审计

🌟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
信任
分类: ml-automation审计

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
信任
分类: ml-automation审计

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
信任
分类: rag-knowledge审计

🌟 Ethereum Consensus client for the Zig and TypeScript ecosystem

1.4K
Stars
80/100
信任
分类: web3-analytics审计

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

1.3K
Stars
79/100
信任
分类: finance审计

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

4.0K
Stars
83/100
信任
分类: ml-automation审计

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

3.2K
Stars
72/100
信任
分类: Finance审计

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

2.7K
Stars
72/100
信任
分类: Finance审计

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
信任
分类: data-analysis审计

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
信任
分类: research审计