Popular GitHub Repositories for Economic

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.

A framework for autonomous economic agent (AEA) development

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Open source framework for using LLMs to forecast political, economic, and social events.

LSTM neural networks for nowcasting economic data.

This repo contains documentation for public Fetch.ai products.

Korean NLP Python Library for Economic Analysis

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

A multi-agent framework that leverages LLMs to simulate socio-economic systems

Public Goods Game (PGG) Benchmark: Contribute & Punish is a multi-agent benchmark that tests cooperative and self-interested strategies among Large Language Models (LLMs) in a resource-sharing economic scenario. Our experiment extends the classic PGG with a punishment phase, allowing players to penalize free-riders or retaliate against others.

A custom RAG-LLM model to analyse central banking forecasts

? A comprehensive AI-powered data explorer that combines FRED economic data & insights with vector search, regression analysis, and interactive chatbot via OpenAI, Claude, and Gemini. Built with TypeScript, React, and Express for seamless full-stack performance.

Implementation of the paper "Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?"

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

MCP server for accessing FRED (Federal Reserve Economic Data) API

Fetch.ai Carpark agent - A Raspberry Pi CCTV camera project to broadcast numbers of available car parking spaces on the Fetch.ai network

An external retriever for GPTs implemented with Zilliz Cloud Pipelines, a more flexible and economic alternative to default GPTs knowledge base.

Use machine learning to evaluate past economic data and predict the probability of a future recession.

R wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.

Economic Impact of Federal Reserve Speeches and Press Releases