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causal-models x

17 search results found

Dowhy ⭐ 6,730

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Pgmpy ⭐ 2,551

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Causaldiscoverytoolbox ⭐ 804

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Bnlearn ⭐ 406

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

YLearn, a pun of "learn why", is a python package for causal inference

Python package for causal discovery based on LiNGAM.

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

Causaldag ⭐ 95

Python package for the creation, manipulation, and learning of Causal DAGs

Benchpress ⭐ 52

A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.

The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

Causal Semantic Generative Model ⭐ 43

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)

St Causalconvnet ⭐ 27

A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.

Tfce_mediation ⭐ 27

Fast regression and mediation analysis of vertex or voxel MRI data with TFCE

Mtj Softtuner ⭐ 18

Create soft prompts for fairseq 13B dense, GPT-J-6B and GPT-Neo-2.7B for free in a Google Colab TPU instance

This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

A framework and specification language for simulating data based on graphical models

Timeawarepc ⭐ 8

A python package for finding causal functional connectivity from neural time series observations.

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