causal-representation-learning
There are 11 repositories under causal-representation-learning topic.
py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
LFhase/CIGA
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
phlippe/CITRIS
Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"
phlippe/BISCUIT
Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)
LFhase/GALA
[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
WeijiaZhang24/CausalMIL
Multi-Instance Causal Representation Learning
Akomand/SCM-VAE
Code Repository for SCM-VAE (IEEE Big Data)
LFhase/CausalCOAT
[NeurIPS 2024] Discovery of the Hidden World with Large Language Models
LOUEY233/Causal-representation-in-vision
These are listed papers from causal inference and causal representation learning in vision
Alex-Markham/medil
mirror of the MeDIL Python package for causal modeling
Akomand/ICM-VAE
Code Repository for ICM-VAE (IJCAI 2024)