causarray is a Python module for simultaneous causal inference with an array of outcomes.
GitHub repository with 7 stars and 0 forks.
Language: Jupyter Notebook
Topics: causal-inference, differential-expression, genomics, single-cell, unmeasured-confounding
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.
GitHub repository with 9,194 stars and 588 forks.
Trending score: 2.37; stars gained: +326; forks gained: +20.
Language: Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,980 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
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.
GitHub repository with 5,614 stars and 1,015 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,682 stars and 332 forks.
Trending score: 1.82; stars gained: +48; forks gained: +12.
Language: Jupyter Notebook
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 131 stars and 45 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
Examples and guides for using the OpenAI API
GitHub repository with 73,986 stars and 12,524 forks.
Trending score: 1.57; stars gained: +24; forks gained: +12.
Language: Jupyter Notebook
Topics: chatgpt, gpt-4, openai, openai-api
A curated list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.
GitHub repository with 318 stars and 73 forks.
Trending score: 0.76; stars gained: +5; forks gained: +0.
Topics: ai, awesome, awesome-list, causal-inference, econometrics, economics
Trustworthy AI related projects
GitHub repository with 1,124 stars and 252 forks.
Trending score: 0.49; stars gained: +1; forks gained: +0.
Language: Python
Topics: causal-discovery, causal-inference, causality, independence-tests, machine-learning, python
DreamGraph is a graph-first cognitive layer (graph → MCP → CLI → dashboard → extension) that builds a persistent knowledge graph to reason, validate changes, and generate docs.
GitHub repository with 102 stars and 30 forks.
Trending score: 0.33; stars gained: +1; forks gained: +1.
Language: TypeScript
Topics: agent-memory, ai-agents, autonomous-agents, causal-discovery, causal-inference, claude
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.
GitHub repository with 216 stars and 42 forks.
Trending score: 0.32; stars gained: +1; forks gained: +0.
Language: Python
Topics: agent-native, ai-agents, causal-discovery, causal-inference, data-science, difference-in-differences
Python Toolkit for Causal and Probabilistic Reasoning
GitHub repository with 3,274 stars and 1,127 forks.
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