The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
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Updated
Apr 25, 2025 - Python
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
[ICML 2026] Probing Cross-modal Information Hubs in Audio-Visual LLMs
Causal Inference Dashboard built with Plotly Dash, comparing a number of different causal methods to measure uplift from an email marketing campaign.
This system analyzes bridge repair method recommendation reports generated by AI agents and visualizes the decision-making pathway from damage → deterioration factors → repair methods as a Decision Tree. It aims to "make the thought process visible."
A causal debugging co-pilot that integrates GitHub, Jira, and Slack to build a knowledge graph of architectural decisions (ADRs), code changes, and team communications. Uses AI agents powered by LangChain and Claude to provide intelligent debugging assistance and decision traceability.
Evidence and reproducibility tools for measuring admission changes and downstream fates in ordered validator pipelines.
A single behavioral nudge nearly 5×'d email click-through in a randomized experiment. This project proves the effect causally, scales it to ~200K extra clicks, and uses Causal ML to pinpoint exactly which customers to target.
Provenence-based Endpoint Detection Response that turned into a benchmark of SOTA models
A causal analysis in DoWhy, estimating the effect of Couchsurfing participation on generalized trust and tolerance while adjusting for age, sex, occupation and country-level trust — and testing how robust the result is to unmeasured disposition.
Graph AI platform connecting equipment, processes, materials, and failure modes — enabling complex relationship queries and causal analysis across manufacturing operations
Quantum-adaptive crypto-agility simulator — research PoC for post-quantum migration
Read-only causal explanation engine for Home Assistant.
Code and processed results for a cross-model causal analysis of subject–verb agreement control in Phi-2, Llama-3.2-3B, and Qwen2.5-3B.
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