causal-machine-learning-lab / mlivLinks
☆27Updated 3 years ago
Alternatives and similar repositories for mliv
Users that are interested in mliv are comparing it to the libraries listed below
Sorting:
- ☆58Updated 3 years ago
- ☆45Updated 6 years ago
- ☆23Updated 3 years ago
- ☆35Updated 3 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆61Updated 5 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆129Updated 2 years ago
- A data index for learning causality.☆472Updated last year
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆143Updated last year
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆107Updated 4 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆90Updated 2 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆151Updated 11 months ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆519Updated 2 years ago
- Causal Inference☆10Updated 5 years ago
- ☆39Updated 5 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆641Updated last year
- Causal Effect Inference with Deep Latent-Variable Models☆345Updated 5 years ago
- ☆93Updated 2 years ago
- Counterfactual Regression☆311Updated 2 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- Counterfactual Regression☆25Updated 9 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆730Updated 2 years ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 4 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 4 years ago
- A (concise) curated list of awesome Causal Inference resources.☆240Updated 2 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆76Updated 3 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆331Updated 9 months ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆49Updated 6 years ago
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆24Updated 2 years ago