AI 研究工具 / 多智能体系统 / 高光谱图像分类
你好，我是 Kyabia，也使用 STEYZJ 这个 GitHub ID。我关注如何把机器学习实验、多智能体流程和遥感研究组织成更清晰、可复现、可迭代的工具系统。
- 多智能体实验流程：把研究任务拆成可观察的计划、执行、评估与迭代步骤。
- 高光谱图像分类：围绕遥感与高光谱图像任务，探索模型、数据和实验框架的结合。
- 可复现实验工具链：关注配置、日志、结果和代码之间的关系，减少研究中的隐性状态。
面向高光谱图像分类研究的自主多智能体实验框架，用来组织实验规划、运行、评估与迭代。
关键词：Multi-Agent Systems · Hyperspectral Imaging · Remote Sensing · Research Automation
Python · PyTorch · Machine Learning · Multi-Agent Systems · Hyperspectral Imaging · Remote Sensing · TypeScript
- GitHub：https://github.com/STEYZJ
- 个人网站：https://steyzj.github.io/
English version
AI research tooling / multi-agent systems / hyperspectral image classification
Hi, I am Kyabia, also working on GitHub as STEYZJ. I focus on turning machine learning experiments, agent workflows, and remote sensing research into clearer, reproducible, and iterable tool systems.
- Multi-agent experiment workflows: making planning, execution, evaluation, and iteration easier to inspect.
- Hyperspectral image classification: connecting models, data, and research frameworks around remote sensing tasks.
- Reproducible research tooling: keeping configuration, logs, results, and code connected.
An autonomous multi-agent framework for hyperspectral image classification research, designed around experiment planning, execution, evaluation, and iteration.
Keywords: Multi-Agent Systems · Hyperspectral Imaging · Remote Sensing · Research Automation
Python · PyTorch · Machine Learning · Multi-Agent Systems · Hyperspectral Imaging · Remote Sensing · TypeScript