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pyro-ppl
Deep universal probabilistic programming with Python and PyTorch
OPENAGENTSKILL / DIRECTORY
为下一项任务找到合适的技能。探索适用于 Codex、Claude Code、Cursor 等 Agent 的工具。
75 Skills
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Deep universal probabilistic programming with Python and PyTorch
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Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.
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Use when forecasting, estimating, or sizing risk — anchor on base rates, give ranges, update prior→likelihood→posterior on evidence, and factor unmeasured quantities int…
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Pressure-test a plan against the codebase, domain glossary, and architectural decisions.
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Complete and link income statement, balance sheet, and cash flow statement model templates with formulas and checks.
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Uplift modeling and causal inference with machine learning algorithms
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A general-purpose probabilistic programming system with programmable inference
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A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
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三竞赛 (CUMCM/MCM/电工杯) 数学建模 skill — harness-agnostic, 同时支持 Claude Code 与 Codex CLI, 全程问答式 (Friendly Mode), 10 阶段 + 4 反馈层 + per-Qi 加权聚合 + 题型 dim 加权 + empirical 实测分位锚定
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Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.
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Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review contract.
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Run scoped or final cross-media consistency checks for mathematical-modeling artifacts, comparing canonical numbers, symbols, parameters, decisions, files, and paper cla…