Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

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

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: mathematical-modelling

영문 디렉토리

🤖📐专为数学建模设计的 Agent & skills ,自动完成数学建模,生成一份完整的可以直接提交的论文。 An Agent Designed for Mathematical Modeling ,Automatically complete mathmodel and generate a complete paper ready for submission.

2.3K
Stars
76/100
신뢰
카테고리: agent-skills감사

Topic Modelling for Humans

16K
Stars
76/100
신뢰
카테고리: ml-automation감사

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

2.4K
Stars
78/100
신뢰
카테고리: finance감사

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

34K
Stars
77/100
신뢰
카테고리: data-analysis감사

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

2.2K
Stars
73/100
신뢰
카테고리: ml-automation감사

Fast, flexible and easy to use probabilistic modelling in Python.

3.5K
Stars
72/100
신뢰
카테고리: ml-automation감사

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

2.3K
Stars
68/100
신뢰
카테고리: finance감사

A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling

580
Stars
71/100
신뢰
카테고리: robotics-iot감사

MathCode: A Frontier Mathematical Coding Agent

575
Stars
64/100
신뢰
카테고리: coding-agents감사

Mathematical Finance Library: Algorithms and methodologies related to mathematical finance.

574
Stars
73/100
신뢰
카테고리: finance감사

CnSTD: 基于 PyTorch/MXNet 的 中文/英文 场景文字检测(Scene Text Detection)、数学公式检测(Mathematical Formula Detection, MFD)、篇章分析(Layout Analysis)的Python3 包

792
Stars
71/100
신뢰
카테고리: document-processing감사

Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.

132
Stars
67/100
신뢰
카테고리: finance감사