Learning Mixtures of Causal Models for Accurate Abstractions of Large Language Models

A high-throughput and memory-efficient inference and serving engine for LLMs

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph

a python framework to build, learn and reason about probabilistic circuits and tensor networks

adaXT: tree-based machine learning in Python

Scalable training and inference for Probabilistic Circuits

Package for recursive causal discovery

Code for ICE-BeeM paper - NeurIPS 2020

Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style

sVAE with learnable interventions

Explainable Interactive Concept Learning

Determining chess game state from an image.

Scalable open-source software to run, develop, and benchmark causal discovery algorithms

Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)

Lecture and lab materials for the SIKS course on causal inference, causal impact assessment part, May 31 2023

Repository containing materials for the ODISSEI workshop on causal impact assessment

american fuzzy lop - a security-oriented fuzzer

DoubleML - Double Machine Learning in Python

Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.

Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series