Interactive-Active-AI / OneWM

:one: OneWM: Can World and Action Modeling Benefit Each Other under Unified Causal Training?

r2m-ai / load-bearing-cot

Perturb-and-continue causal tests of chain-of-thought: does the written reasoning actually constrain the answer? Code, data, and probes for "From Decorative to Load-Bearing: Task Difficulty Shapes the Causal Role of Chain-of-Thought" (TMLR 2026).

evoscm / EvoSCM

EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation

j1s4nn / jev-adaptive-granularity-WM

Official code, locked protocols, and audit artifacts for "Jev-Routed Temporal Granularity with Recovery and Hysteresis for Causal Video Generation": per-segment fine/coarse/hold routing for Causal-rCM (Wan2.1-1.3B) via the Jev oracle, with two-GPU (T4/A100) feasibility audits.

BaruqueRodrigues / llm-legislativo

Corpus legislativo brasileiro em larga escala e modelo Transformer causal treinado do zero em PyTorch puro.

py-why / EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

TSCenter / awesome-time-series-papers

An Awesome List of the latest time series papers and code from top AI venues.

py-why / dowhy

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 inference, combining causal graphical models and potential outcomes frameworks.

uber / causalml

Uplift modeling and causal inference with machine learning algorithms

pgmpy / pgmpy

Python Toolkit for Causal and Probabilistic Reasoning

pedrohcgs / claude-code-my-workflow

A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

matheusfacure / python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

rguo12 / awesome-causality-algorithms

An index of algorithms for learning causality with data

SciML / ModelingToolkit.jl

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

brycewang-stanford / Awesome-Journal-Skills

Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。

pymc-labs / CausalPy

A Python package for causal inference in quasi-experimental settings

huawei-noah / trustworthyAI

Trustworthy AI related projects

causaly / zod-validation-error

Wrap zod validation errors in user-friendly readable messages

thu-ml / Causal-Forcing

[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++

carverauto / serviceradar

Open-Source Network Management, Monitoring, ITOM, and Security Analytics

DoubleML / doubleml-for-py

DoubleML - Double Machine Learning in Python

perpetual-ml / perpetual

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

WillianFuks / tfcausalimpact

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

hanlulong / awesome-ai-for-economists

A curated list of AI tools, agent skills, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.

samvallad33 / vestige

Think before doing, prove before saving. Vestige is a local, deterministic safety kernel for AI agents. Every memory write and agent action is recorded in Strata, an append-only log, so you can see exactly what your agent did and why.

erdogant / bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

laurencium / Causalinference

Causal Inference in Python

evelyyyyynnnnn / 4.0-Decision-Intelligence-Framework

A research-oriented framework for building optimization-driven decision intelligence systems, integrating causal inference, risk modeling, and AI pipelines for large-scale socio-technical systems

OpSafari / hypoarena

Scientific hypothesis-discovery workbench: grounded hypothesis-evidence graphs, synthetic literature with planted causal chains, generate-debate-evolve loops over pluggable offline adapters, Elo tournaments recovering planted skill order, paraphrase dedup, Bayesian evidence accumulation, reproducible reports. NumPy core, CPU-only torch extra.

1173591564 / Dynamics-memory

LLM agent 的有界自纠错长期记忆层：把连续、含矛盾的项目交互日志蒸馏成有界、可自更新的记忆库。Bounded, self-correcting long-term memory for LLM agents — candidate pool + value dynamics + tension adjudication + causal-replay evals.

zhuang2002 / Self_Gradient_Forcing

Self Gradient Forcing (SGF) recovers the missing context-gradient path for self-generated causal memory through a bounded two-pass replay, enabling models trained with only a 5-second window to extrapolate to minute-scale videos with stronger identity, layout, and temporal stability.

Bariona / FACT

[CoRL 2026] Code for "FACT: Failure-Aware Causal Training for World‑Action Models"

JingxuanC / causal-memory

Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.

VeryVale-RT / quantfeature

road feature coverage with explicit compatibility contracts and causal defaults. Formula parity is tested family by family.

oss-codes / flashvad

FlashVAD is a small causal voice-activity detector and integration toolkit for low-latency voice calls. It emits one speech probability every 10 ms

nv-tlabs / cmd

Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation

AetherLabsAI / CausalWM

A causal reasoning world model for embodied intelligence, predicting future video through explicit chain-of-thought over motion and geometry with flexible multimodal conditioning.

sb-ai-lab / Whydra

Fast causal discovery library

sammargolis / DrugTargetWorld

DrugTargetWorld: a synthetic biobank for training and benchmarking AI scientists on end-to-end drug target discovery. Paper: arXiv:2610.09558

fufuchiu / speechloom

End-to-end speech model research: waveform encoding, causal decoding, codec tokens, joint losses and streaming.

Mayankpratapsingh022 / Turn-Detection-Model-Whisper-Tiny-Dual-Scale-Attention-Classification-Head-for-Low-Latency-Voice-AI

Low-latency, audio-native turn detection model using Whisper Tiny with a dual-scale attention classification head. Optimized for Hindi, Hinglish and Indian English, including fillers, incomplete thoughts and natural pauses. Includes causal training, hard-negative mining, calibrated endpointing.

neu-vi / ViRDM

ViRDM: Taming Representation Distribution Matching for Few-Step Causal Video Generation

HCPLab-SYSU / Embodied_AI_Paper_List

[Embodied-AI-Survey-2025] Paper List and Resource Repository for Embodied AI