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causal-falsify: A Python library with algorithms for falsifying the unconfoundedness assumption in a composite dataset from multiple sources.
Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain
A package to build Gradient boosted trees for ordinal labels
Data and analysis for 'Machine Bias'
Replication code "The Limits of Human Predictions of Recidivism" by Lin et al. (2020)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A curated list of causal inference libraries, resources, and applications.
マケデコハッカソン LT大会 presented by J-Quants
A Python CLI tool to scan, detect, and plot stock chart patterns
Open Data Platform for analysts, quants and AI agents.
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection
Causal Inference and Discovery in Python by Packt Publishing
Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"
Repo for Yale Applied Empirical Methods PHD Course
2023年5月28日に日本経済学会春季大会にて開催されたチュートリアル・セッション（共催：日本学術会議 数量的経済・政策分析分科会）「DIDの計量経済手法の近年の展開」のサポートサイトとしてスライド資料（講義編・演習基礎編・演習応用編）、Stataコード、Rコードを提供しています．
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
An advanced API client for python bot traderes.
A collection of libraries to optimise AI model performances
difference-in-differences in Python