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: monte-carlo-simulation

英語版ディレクトリ

Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini

22K
Stars
77/100
信頼
カテゴリ: web3-analytics監査

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

4.6K
Stars
85/100
信頼
カテゴリ: ml-automation監査

Simulation of spiking neural networks (SNNs) using PyTorch.

1.7K
Stars
80/100
信頼
カテゴリ: ml-automation監査

A library for generative social simulation

1.5K
Stars
80/100
信頼
カテゴリ: agent-frameworks監査

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

1.2K
Stars
83/100
信頼
カテゴリ: education監査

A god-simulation sandbox game built on Godot 4 as a multi-agent AI social simulation system. In this virtual world, AI characters possess independent thinking and memory, capable of autonomous social interactions, task completion, and developing complex social relationships through continuous communication.

2.4K
Stars
83/100
信頼
カテゴリ: agent-frameworks監査

Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.

2.3K
Stars
83/100
信頼
カテゴリ: agent-frameworks監査

OpenClaw / QClaw plugin that visualizes AI agents as 3D NPCs in a game town — with social simulation, a map editor, and a character workshop.

1.3K
Stars
83/100
信頼
カテゴリ: agent-frameworks監査

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

10K
Stars
74/100
信頼
カテゴリ: finance監査

AI coding agent skills for KiCad electronics design. Works with Claude Code and OpenAI Codex. Analyze schematics, review PCB layouts, EMC pre-compliance, SPICE simulation, download datasheets, source components, and prep boards for fabrication.

958
Stars
74/100
信頼
カテゴリ: agent-skills監査

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)

1.1K
Stars
73/100
信頼
カテゴリ: robotics-iot監査

Multi-agent framework for design, simulation, and auditing.

744
Stars
71/100
信頼
カテゴリ: agent-frameworks監査