Structured Text Generation

Fast, Flexible and Portable Structured Generation

Convert PDF to markdown + JSON quickly with high accuracy

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

Characterization of relational table embeddings (VLDB 2024).

Repository for collecting and categorizing papers outlined in our survey paper: "Large Language Models on Tabular Data -- A Survey".

A new collection of 1.7k doctor-patient conversations and corresponding clinical notes/summaries.

Speech To Speech: an effort for an open-sourced and modular GPT4-o

Algorithms for outlier, adversarial and drift detection

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

This project introduces Causal AI and how it can drive business value.

Code for blog posts.

Code for the article Modeling Marketing Mix using PyMC3

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…

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

A full example for causal inference on real-world retail data, for elasticity estimation

Scikit learn compatible constrained and robust polynomial regression in Python

Find the longest increasing or decreasing subsequence of a sequence.

Multi-container environment with Hadoop, Spark and Hive

Code for the ISIC2019 Challenge