dsh-plugin-mlquant-benchmark
用于复现并校验 ml-quant-trading protocol v1 CPU 基准测试，并生成可提交 issue 报告的 DSH 工具。需要本地 clone initial-d/ml-quant-trading，并将其设为 workspace 或 repoPath，同时自行准备 Python 和 PyTorch；本插件不会获取仓库或安装依赖。
DSH tools for reproducing and validating the ml-quant-trading protocol v1 CPU benchmark, then drafting an issue-ready report. Requires a local clone of initial-d/ml-quant-trading (set as the workspace or repoPath) plus Python and PyTorch; this plugin does not fetch the repository or install its dependencies.
怎么安装
dsh plugin add github:initial-d/dsh-plugin-mlquant-benchmark 简介
dsh-plugin-mlquant-benchmark DeepSeek Harness tools for reproducing the initial-d/ml-quant-trading protocol v1 CPU benchmark. The point is narrow: make a DSH agent able to run the existing benchmark, read the machine-readable artifact, validate it against the benchmark protocol, and draft an issue-ready report. This plugin does not add a trading agent, does not call market data APIs, and does not configure any model provider. Why this exists ml-quant-trading is a good reproducibility target for agent harnesses: deterministic synthetic benchmark input; fixed protocol v1 command, seed, panel siz…
推荐参考
信息
- 协议
- MIT
- 语言
- JavaScript
- GitHub 星标
- 3
- 月下载
- –
- 最近更新
- 2026-08-24
- 创建于
- 2026-08-20
基础安全检查
- 检查结果
- curated 收录但无 npm 包/安装命令
- 收录来源
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- 主题标签
- benchmark, deepseek-harness, dsh-plugin, mlquant, pytorch, quantitative-finance, reproducibility