Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for causal models
causal-models
x
39 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.
Causalnex
⭐
2,109
A Python library that helps data scientists to infer causation rather than observing correlation.
Causaldiscoverytoolbox
⭐
804
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Causallib
⭐
653
A Python package for modular causal inference analysis and model evaluations
Bnlearn
⭐
406
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Causal Ml
⭐
376
Must-read papers and resources related to causal inference and machine (deep) learning
Ylearn
⭐
344
YLearn, a pun of "learn why", is a python package for causal inference
Lingam
⭐
312
Python package for causal discovery based on LiNGAM.
Looper
⭐
201
A resource list for causality in statistics, data science and physics
Reccon
⭐
128
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Awesome Graph Causal Learning
⭐
108
A list of Graph Causal Learning materials.
Causaldag
⭐
95
Python package for the creation, manipulation, and learning of Causal DAGs
Pylift
⭐
61
Uplift modeling and evaluation library. Actively maintained pypi version.
Iap Cidl
⭐
60
Causal Inference & Deep Learning, MIT IAP 2018
Benchpress
⭐
52
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
Carnival
⭐
48
CAusal Reasoning for Network Identification with integer VALue programming in R
Cause2e
⭐
45
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)
Sam
⭐
33
Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
Structuralcausalmodels.jl
⭐
31
Initial look at directed acyclic graph (DAG) based causal models in regression.
Tfce_mediation
⭐
27
Fast regression and mediation analysis of vertex or voxel MRI data with TFCE
Awesome Uplift Model
⭐
27
🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】
St Causalconvnet
⭐
27
A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
Causaleffect
⭐
23
causaleffect: R package for identifying causal effects.
Dcbo
⭐
22
Dynamic causal Bayesian optimisation
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
Agrum
⭐
17
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).
Dagsim
⭐
13
A framework and specification language for simulating data based on graphical models
Jupyterlab Dagitty
⭐
13
JupyterLab renderer of dagitty causal diagrams
Overview_causal_inference
⭐
11
A Brief Overview of Causal Inference (xaringan presentation)
Cci
⭐
10
Cyclic Causal Inference
Timeawarepc
⭐
8
A python package for finding causal functional connectivity from neural time series observations.
Credici
⭐
8
Credici: Credal Inference for Causal Inference
Headlinecause
⭐
7
A dataset of news headlines for detecting causalities
Cfid
⭐
6
cfid: R package for identifying counterfactuals.
Causal Inference Using Quasi Experimental Methods
⭐
5
Causal Inference Using Quasi-Experimental Methods
Graphical_model_learning
⭐
5
Learning graphical models, with a focus on causal models and learning from interventional data.
Dosearch
⭐
5
dosearch: R Package for Identifying General Causal Queries
Related Searches
Causality Causal Models (27)
Python Causal Models (22)
1-39 of 39 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.