为AI编码代理提供完整的Kaggle集成插件/技能——竞赛报告、数据集/模型下载、笔记本执行和徽章收集。可通过 skills.sh 支持Claude Code、Gemini CLI、Cursor、Codex、OpenClaw和35+代理。

kagglehub 开源项目推荐(28 个)
kagglehub 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 28 个仓库Deploy autonomous AI agents to research, debug, and iterate on Kaggle data science competitions.
Data analysis performed on my sleep logs
Pandas-based exploratory analysis of 1,025 heart disease patient records: KaggleHub loading, missing-value audit, iloc selection and boolean filtering in a reproducible Jupyter notebook.
A deep learning research prototype designed to analyze real-world medical imaging and identify multiple thoracic pathologies using a fine-tuned DenseNet121 architecture, while also providing the exact regions that led to its predictions.
🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.
AI-powered plant disease detection system using CNN deep learning. Identifies 38+ crop diseases from leaf images with high accuracy. Built with TensorFlow/Keras and Streamlit for real-time agricultural diagnostics.
Python data cleaning pipelines that use Pandas and KaggleHub to download, clean, transform and prepare datasets for analysis and testing
AI Based Anomaly Detection System for System Logs
AI-powered pancreas detection and segmentation system for CT scans using CNN and U-Net models with automated mask generation and visualization.
A content-based recommendation engine using LLMs, LangChain, Hugging Face, Gradio, and Python to generate vectorized book representations for semantic similarity matching, enabling personalized and context-aware book recommendations.
该项目在 GitHub 上没有填写描述
Exploring and Visualizing the Iris Dataset
该项目在 GitHub 上没有填写描述
This Machine Learning project presents a rigorous, leakage-aware hybrid soft-voting ensemble framework combining k-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest (RF) for heart disease prediction on the UCI Cleveland dataset.
This is project, developed a deep learning model using Tensorflow and CNNs to classify images into multi animal categories with high accuracy. Preprocessed image data, optimized model architecture and achieved effective generalization on unseen data.
This project delivers an Intelligent Agricultural Expert System specialized in Tomato leaf pathogens. It bridges the gap between expert knowledge and local farmers by providing a production-ready diagnostic tool. This system is designed to be extensible to other crops like Maize, Potato, Cocoa, Coffee, and Cassava
a data analysis and forecasting project focused on identifying trends, top-performing brands, and year-over-year patterns in synthetic car sales data
Load a Hugging Face or Kaggle dataset into InterSystems IRIS tables with one SQL call
Machine Learning Part 3 (IIT Ropar × NIELIT Ropar): YOLO11 road damage detection — potholes, cracks & manholes — with an in-browser ONNX demo
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/kagglehub。
- 该话题在 GitHub 上共有 28 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 123 Star,覆盖 3 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。