Stars
Application implementation with business use cases for safely utilizing generative AI in business operations
Swift demonstration of how to build a Slack app that enables end-users to interact with a ChatGPT bot
An index of algorithms for learning causality with data
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
DuckDB is an analytical in-process SQL database management system
SurvSHAP(t): Time-dependent explanations of machine learning survival models
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 go…
DoubleML - Double Machine Learning in Python
❗ uplift modeling in scikit-learn style in python 🐍
A bot that will archive your slack messages and make them searchable. No more 10,000 message search limit.
A Slack Export archive viewer that allows you to easily view and share your Slack team's export
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Gather around the table, and have a discussion to catch up the latest trend of machine learning 🤖
A Python implementation of Google Analytics Measurement Protocol
🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.