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anujsingh-cse/README.md

ANUJ SINGH
asks machines for evidence

Most software answers. Mine is built to ask — each question below is an open-source tool that measures the answer instead of trusting it.

Contents

№ question asked by
I Which chunk caused the answer? raglens
II Do agents argue their way to better patches? orchestrator-of-three-cycles
III Can an assistant check its own work? GhostCoder
IV Is this chart telling the truth? causal-inference-toolkit
V Who reviews the reviewer? devrel-agent
VI Can a diary keep a secret?* tom-riddle-s-diary
VII What should I ask next? open an issue

Also in this volume: YojanaSetu · autoinvoice-ocr · nexus-analytics · AgentParliament

* answers vary. it is, against advice, live.

Colophon

printed on a free tier, one 4 GB GPU, and ₹0 · open source, mostly · early work has not been reprinted

library-style revised stamp, advanced daily

Pinned Loading

  1. raglens raglens Public

    Diagnostic evaluation for RAG pipelines — counterfactual chunk attribution, conflict detection, failure-mode classification. Native NVIDIA NIM judge .

    Python

  2. devrel-agent devrel-agent Public

    Open-source GitHub App that auto-triages issues, labels PRs, and responds to contributors using AI-powered semantic analysis.

    TypeScript

  3. causal-inference-toolkit causal-inference-toolkit Public

    Production-ready causal inference toolkit wrapping DoWhy/EconML with sensitivity analysis, quasi-experiments (Synthetic Control & DiD), A/B testing, uplift modeling, interactive web UI, and executi…

    Python

  4. autoinvoice-ocr autoinvoice-ocr Public

    B2B micro-SaaS for invoice OCR — extracts structured JSON from PDFs using Tesseract.js + LLM layout parsing. Next.js + Stripe.

    TypeScript

  5. Tom-riddle-s-diary Tom-riddle-s-diary Public

    Python