23 results found Sort:

917
6.8k
mit
137
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 ...
Created 2018-05-31
1,012 commits to main branch, last one 2 days ago
254
2.2k
other
48
A Python library that helps data scientists to infer causation rather than observing correlation.
Created 2019-12-12
226 commits to develop branch, last one 3 months ago
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Created 2017-05-31
742 commits to master branch, last one about a year ago
93
676
apache-2.0
21
A Python package for modular causal inference analysis and model evaluations
Created 2019-04-04
85 commits to master branch, last one 7 months ago
116
624
unknown
27
Must-read papers and resources related to causal inference and machine (deep) learning
Created 2019-10-13
81 commits to master branch, last one about a year ago
44
447
other
8
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Created 2020-01-01
898 commits to master branch, last one 8 days ago
75
382
apache-2.0
11
YLearn, a pun of "learn why", is a python package for causal inference
Created 2022-03-28
792 commits to main branch, last one 2 months ago
51
346
mit
11
Python package for causal discovery based on LiNGAM.
Created 2019-08-22
517 commits to master branch, last one 15 days ago
A list of Graph Causal Learning materials.
Created 2022-04-26
137 commits to main branch, last one about a month ago
29
162
unknown
11
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Created 2020-11-30
45 commits to main branch, last one 2 years ago
A Python package for causal inference using Synthetic Controls
Created 2020-06-27
107 commits to master branch, last one 2 years ago
17
135
other
8
Python package for the creation, manipulation, and learning of Causal DAGs
Created 2018-07-28
375 commits to master branch, last one about a year ago
🛠 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】
Created 2022-11-11
27 commits to master branch, last one about a year ago
The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
Created 2022-03-06
22 commits to main branch, last one about a year ago
Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)
Created 2021-10-26
8 commits to main branch, last one 2 years ago
20
70
bsd-2-clause
5
Uplift modeling and evaluation library. Actively maintained pypi version.
Created 2018-09-29
110 commits to master branch, last one 4 years ago
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
Created 2020-01-15
1,413 commits to master branch, last one 12 days ago
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
Created 2021-05-11
188 commits to main branch, last one about a year ago
29
55
unknown
10
CAusal Reasoning for Network Identification with integer VALue programming in R
Created 2017-10-25
3,578 commits to master branch, last one 5 months ago
10
52
apache-2.0
8
Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
Created 2018-03-12
28 commits to master branch, last one 3 years ago
A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
Created 2022-07-25
9 commits to main branch, last one about a year ago