problem-classifier
zhnnky329
Classify each parsed mathematical-modeling subquestion by required output and structure, surface ambiguous framing trade-offs for human choice, and record primary/second…
OPENAGENTSKILL / DIRECTORY
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Results: 78
zhnnky329
Classify each parsed mathematical-modeling subquestion by required output and structure, surface ambiguous framing trade-offs for human choice, and record primary/second…
zhnnky329
Parse a mathematical-modeling problem into goals, objects, data, constraints, outputs, subquestions, dependencies, variables, relationships, and human-confirmed success…
zhnnky329
Build and risk-screen a compact role-based method shortlist for a mathematical-modeling subquestion. Use after problem framing and data profiling, before model code gene…
zhnnky329
Run scoped or final cross-media consistency checks for mathematical-modeling artifacts, comparing canonical numbers, symbols, parameters, decisions, files, and paper cla…
zhnnky329
Generate and render-verify publication-quality mathematical-modeling figures from saved evidence, using the approved figure plan, source data, claim, type, and consisten…
tellery
Tellery lets you build metrics using SQL and bring them to your team. As easy as using a document. As powerful as a data modeling tool.
geoschem
GEOS-Chem "Science Codebase" repository. Contains GEOS-Chem science routines, run directory generation scripts, and interface code. This repository is used as a submodul…
MizuhoAOKI
[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot
semanticdatalayer
Open-source repository for Semantic Modeling Language (SML)
cmower
OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.
microsoft
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports dive…
statsmodels
Statsmodels: statistical modeling and econometrics in Python
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
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