Causal discovery algorithms and tools for implementing new ones

Build LLM agents that explain why, not just what. Attribution-driven agent requirements engineering framework. Based on the 4D-ARE Paper - https://arxiv.org/abs/2601.04556

The official PyTorch code implementation of "Human Trajectory Prediction via Counterfactual Analysis" in ICCV 2021.

The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

Active Bayesian Causal Inference (Neurips'22)

Causal RL Environments Simulator

Knowledge-Augmented Language Models for Cause-Effect Relation Classification https://arxiv.org/abs/2112.08615

Official implementation of "Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships", NeurIPS 2023.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models

🔥 让AI像专家一样诊断 | 3种创新方法 | 跨领域通用 | 精美可视化

evaluating the causal strength between cause and effect

Causal reasoning evaluation of LLMs with human benchmark

Code Repository for CausalVLBench (EMNLP 2025 Main)

CONCR: A Contrastive Learning Framework for Causal Reasoning

[ICML '25] Automatic task generation for compositional causal reasoning (CCR) evaluation in language models.

An interactive shiny app for drawing DAGs tailored to confounding adjustment and transportability analyses

Graph-based reasoning library with embedding search, multi-hop traversal, and automatic entity extraction

[JNE] Journal of Neural Engineering

Operational intelligence engine demonstrating cross-domain reasoning and causal coherence

EPOCH-Bench: Evaluation of Planning Over Causal Horizon, A benchmark for evaluating LLM agentic planning on PDDL time-travel puzzles with causal propagation, temporal decay, and multi-agent coordination. 6 levels, 6 metrics, deterministic validation.