Survey: Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

This page summarizes the projects mentioned and recommended in the original post on dev.to
hardware-buttons scrape-images linkedin-bot

Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
featured
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured

  • causal-learn

    Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

    Scout Monitoring logo

  • lingam

    Python package for causal discovery based on LiNGAM.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Learning Universal Predictors

    1 project | news.ycombinator.com | 31 Jan 2024

  • Elon Musk proposes that a new version of quantum mechanics/cosmology, will be derived, possibly by using his version of artificial intelligence "xAI".

    1 project | /r/GUToCPandSociety | 13 Jul 2023

  • Bivariate causal inference

    1 project | /r/CausalInference | 29 Nov 2022

  • [D] What approach to decide which class is most optimal for recovery?

    1 project | /r/MachineLearning | 14 Oct 2022

  • Getting treatment effects from a random forest

    1 project | /r/datascience | 5 Jun 2022