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: tensorflow-tutorials

영문 디렉토리

An Open Source Machine Learning Framework for Everyone

196K
Stars
81/100
신뢰
카테고리: ml-automation감사

A tool that lets AI agents like Claude Code edit videos by cutting filler words, color grading, adding subtitles, and more, all via natural language commands.

17K
Stars
85/100
신뢰
카테고리: media감사

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

23K
Stars
79/100
신뢰
카테고리: agent-frameworks감사

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

21K
Stars
79/100
신뢰
카테고리: agent-frameworks감사

A WebGL accelerated JavaScript library for training and deploying ML models.

19K
Stars
81/100
신뢰
카테고리: ml-automation감사

This repository will assist you in creating a more beautiful and appealing github profile, and you will have access to a comprehensive range of tools and tutorials for beautifying your github profile. 🪄 ⭐

12K
Stars
85/100
신뢰
카테고리: document-processing감사

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

9.5K
Stars
76/100
신뢰
카테고리: ml-automation감사

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

7.6K
Stars
77/100
신뢰
카테고리: ml-automation감사

A flexible, high-performance serving system for machine learning models

6.4K
Stars
80/100
신뢰
카테고리: ml-automation감사

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

4.6K
Stars
80/100
신뢰
카테고리: ml-automation감사

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

4.4K
Stars
84/100
신뢰
카테고리: robotics-iot감사