siamakz / iVAELinks
VAEs and nonlinear ICA: a unifying framework
☆49Updated 6 years ago
Alternatives and similar repositories for iVAE
Users that are interested in iVAE are comparing it to the libraries listed below
Sorting:
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆63Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆40Updated 3 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆105Updated 4 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 3 years ago
- ☆11Updated 2 years ago
- This is an Uncertainty Study Arxiv☆12Updated 9 months ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- ☆25Updated 2 years ago
- Multimodal Mixture-of-Experts VAE☆220Updated 2 years ago
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆70Updated 3 years ago
- Code for Diff-SCM paper☆99Updated 2 years ago
- ☆29Updated 7 months ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆19Updated 4 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆26Updated 4 years ago
- Diffusion Models for Causal Discovery☆90Updated 2 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆139Updated 2 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆90Updated 3 years ago
- ☆18Updated last year
- Contrastive Variational Autoencoders☆71Updated 6 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Mutual Information Neural Estimation in Pytorch☆345Updated last year
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆34Updated 4 years ago