Liao-Xu / DDRLinks
This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].
☆11Updated 8 months ago
Alternatives and similar repositories for DDR
Users that are interested in DDR are comparing it to the libraries listed below
Sorting:
- Repository for "Differentiable Causal Discovery from Interventional Data"☆75Updated 3 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆281Updated last year
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆119Updated last year
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions☆14Updated last year
- BaCaDI: Bayesian Causal Discovery with Unknown Interventions☆12Updated 2 years ago
- A curated list of awesome variational inference☆23Updated 4 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆149Updated 9 months ago
- Python code of Hilbert-Schmidt Independence Criterion☆87Updated 2 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆50Updated last year
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆13Updated 4 months ago
- ☆92Updated 2 years ago
- Causal Fairness Analysis☆18Updated last month
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- ☆45Updated 6 years ago
- Roundtrip: density estimation with deep generative neural networks☆61Updated last year
- ☆12Updated last year
- The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)☆25Updated 6 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- ☆32Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆35Updated 4 years ago
- Solution and Useful Links☆54Updated 3 years ago
- Weight Predictor Networks with Sparse Feature Selection for Small Size Tabular Biomedical Data. Published at AAAI 2023☆17Updated last year
- A Pytorch implementation of missing data imputation using optimal transport.☆101Updated 3 years ago
- This repository contains a list of awesome literature in statistics and machine learning.☆14Updated 11 months ago
- Active learning for optimal intervention design in causal models☆14Updated last year