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.
Interactive data visualizations and plotting in Julia
🚀你的私人数据分析助手。通过对话式交互，自动生成可视化报表与商业洞察，让数据决策变得像聊天一样简单。 🚀 Your personal data analysis assistant. Say goodbye to complex SQL and Excel formulas. An LLM-powered data analysis agent. Chat with your data to instantly generate visualizations and business insights. Making data-driven decisions has never been easier.
MathBox is a (work in progress) library for making presentation-quality math diagrams in WebGL.
Making SLOs with Prometheus manageable, accessible, and easy to use for everyone!
An all-inclusive Python framework for the Riot Games League of Legends API. Cass focuses on making the data easy and fun to work with, while providing all the tools necessary to create a website or do data analysis.
- league-of-legends
- riot-games-api
- champion-gg-api
- python
A D3 module for making grids of icons