Gourang97 / Causal-Variational-Autoencoders
Causal Variational AutoEncoders
☆27Updated 4 years ago
Alternatives and similar repositories for Causal-Variational-Autoencoders:
Users that are interested in Causal-Variational-Autoencoders are comparing it to the libraries listed below
- Diffusion Models for Causal Discovery☆84Updated last year
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆51Updated 10 months ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆49Updated 3 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆82Updated 2 years ago
- Multimodal Mixture-of-Experts VAE☆198Updated last year
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆127Updated 5 months ago
- ☆28Updated 11 months ago
- Code for Diff-SCM paper☆93Updated last year
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆82Updated 9 months ago
- VAEs and nonlinear ICA: a unifying framework☆46Updated 5 years ago
- ☆22Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆62Updated 3 weeks ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated last year
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆44Updated 4 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆19Updated last year
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- ☆52Updated 6 months ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆49Updated last year
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆127Updated last year
- ☆17Updated 5 years ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 4 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆274Updated last year
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆72Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"☆17Updated 3 years ago
- Code for "Neural causal learning from unknown interventions"☆100Updated 4 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 9 months ago
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆30Updated last year