siamakz / iVAELinks
VAEs and nonlinear ICA: a unifying framework
☆48Updated 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☆38Updated 5 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆62Updated 3 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.☆37Updated 3 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆103Updated 4 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆88Updated 3 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆53Updated 3 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Mutual Information Neural Estimation in Pytorch☆339Updated last year
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- Multimodal Mixture-of-Experts VAE☆214Updated 2 years ago
- A benchmark for distribution shift in tabular data☆55Updated last year
- ☆25Updated last year
- Code for Diff-SCM paper☆97Updated 2 years ago
- This is an Uncertainty Study Arxiv☆11Updated 7 months ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆19Updated 4 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 4 years ago
- Diffusion Models for Causal Discovery☆86Updated 2 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 6 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆104Updated 5 years ago
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆70Updated 3 years ago
- ☆18Updated last year
- ☆11Updated 2 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆137Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago