unshrink: post-hoc debiasing of machine learning predictions to reduce shrinkage-induced attenuation bias in downstream causal inference -- without requiring fresh ground-truth data [AAAI 2026, oral]
GitHub repository with 7 stars and 0 forks.
Language: Jupyter Notebook
Topics: causal-inference, debiasing, shrinkage, tweedie
2026-06-05: 7 stars and 0 forks.
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
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Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
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Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
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Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
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Examples and guides for using the OpenAI API
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Language: Jupyter Notebook
Topics: openai, chatgpt, gpt-4, openai-api
A curated list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.
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Topics: ai, awesome, awesome-list, causal-inference, econometrics, economics
Trustworthy AI related projects
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Trending score: 0.49; stars gained: +1; forks gained: +0.
Language: Python
Topics: causal-discovery, causal-inference, causality, independence-tests, machine-learning, python
StatsPAI is the first agent-native Python platform for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, and R/Stata parity validation.
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Language: Python
Topics: agent-native, ai-agents, causal-discovery, causal-inference, data-science, difference-in-differences
Python Toolkit for Causal and Probabilistic Reasoning
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Trending score: 0.25; stars gained: -1; forks gained: -1.
Language: Python
Topics: python, bayesian-networks, causal-inference, causal-discovery, causal-identification, causal-models
Step-by-step causal inference — method selection, assumptions, and robustness checks
GitHub repository with 28 stars and 3 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, business-intelligence, causal-inference, causal-reasoning, causality-analysis, dag
A Python package for causal inference in quasi-experimental settings
GitHub repository with 1,149 stars and 103 forks.
Trending score: 0.05.
Language: Python
Topics: causal-inference, pymc, quasi-experimental, quasi-experiments