akekic / causal-component-analysisLinks
☆25Updated 2 years ago
Alternatives and similar repositories for causal-component-analysis
Users that are interested in causal-component-analysis are comparing it to the libraries listed below
Sorting:
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- VAEs and nonlinear ICA: a unifying framework☆40Updated 5 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆57Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76Updated 3 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆90Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆71Updated 11 months ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆95Updated 3 years ago
- Mutual information estimators and benchmark☆56Updated 4 months ago
- Diffusion Models for Causal Discovery☆92Updated 2 years ago
- ☆53Updated last year
- VAEs and nonlinear ICA: a unifying framework☆50Updated 6 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 8 months ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆53Updated 4 years ago
- ☆18Updated 2 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆52Updated last year
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆31Updated 2 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆60Updated 4 months ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆48Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆22Updated last year
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- ☆31Updated 9 months ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆92Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago