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validation-framework

Here are 18 public repositories matching this topic...

Adaptive Human-Agent Teaming (HAT) & Smart Company (SmC) Infrastructure This repository implements a Human-Model-Free adaptive agent architecture. Instead of relying on rigid, computationally expensive human behavioral models, the system leverages real-time trajectory analysis and the Cross-Entropy

  • Updated Oct 8, 2026
  • Python
resp-fortuna-vision-public-preview

👁️ FortunaVision — chart-first market + treasury workstation, static, no keys: TradingView's open-source chart engine beside Fortuna's SVG engine, Auto Levels, regime, order flow, dealer gamma, drawings, indicator files, a command line, and a Treasury mode (chains, yields, stablecoins, holdings). Public preview of the private lane.

  • Updated Nov 7, 2026
kerndx

A complete Salesforce Apex + LWC framework and library suite — SOQL builder, DML wrapper, trigger framework, async orchestration, feature flags, validation, logging, data masking, REST APIs (inbound + outbound), test data factory, LWC components, and CI tooling — in one managed package. Apache 2.0.

  • Updated Oct 31, 2026
  • Apex

Multi-agent AI skill orchestration — 15 skills, 7 lifecycle phases, from idea to post-release. Works with Claude Code, Codex, Gemini CLI, Cursor, Windsurf, OpenCode, and any agent that reads Markdown or speaks MCP.

  • Updated Oct 18, 2026
  • Python

Architecture-complete green-hydrogen validation repo: safety-gated bench testing, gas verification, carbon/source accounting, BOMs, assembly walkthroughs, Gankyil-A A/B tests, and evidence receipts.

  • Updated May 1, 2026
  • Python

Production-grade prompt generator combining 5 Circles validation + 18 Hacks optimization + optional Council mode (5 advisors, peer review, chairman synthesis). Universal LLM support: ChatGPT, Claude, Gemini, Qwen, DeepSeek. Domain-aware validation with compliance checks. 11 professional examples included. Karpathy Council methodology. MIT license.

  • Updated Jul 3, 2026

A scientifically audited research prototype for finite-difference & Feynman-Kac computation of linear parabolic PDEs. Establishes a rigorous, noise-controlled no-go theorem for reference-free error source identifiability. 61+ tests green.

  • Updated Jul 31, 2026
  • Python

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