Alternatives and similar repositories for iVAE

Users that are interested in iVAE are comparing it to the libraries listed below

• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆38Updated 5 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 4 years ago
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆62Updated 3 years ago
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆33Updated 4 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆104Updated 4 years ago
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 2 years ago
• weirayao / leap
  LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
  ☆38Updated 3 years ago
• piomonti / carefl
  Code for "Causal autoregressive flows" - AISTATS, 2021
  ☆45Updated 4 years ago
• iffsid / mmvae
  Multimodal Mixture-of-Experts VAE
  ☆215Updated 2 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆54Updated 3 years ago
• kyg0910 / CI-iVAE
  ☆11Updated 2 years ago
• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆75Updated 5 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 5 years ago
• mori97 / VaDE
  A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)
  ☆39Updated 4 years ago
• GuHY777 / VaDE-pytorch
  the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch
  ☆138Updated 2 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆87Updated 2 years ago
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆70Updated 3 years ago
• TongtongFANG / DIW
  Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".
  ☆30Updated 4 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆123Updated 2 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆98Updated 2 years ago
• akekic / causal-component-analysis
  ☆25Updated last year
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆105Updated 5 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆27Updated 6 months ago
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 4 years ago
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆88Updated 3 years ago
• trevor-richardson / MCFlow
  Monte Carlo Flow Models for Data Imputation
  ☆19Updated 5 years ago
• XTxiatong / PaperArxiv
  This is an Uncertainty Study Arxiv
  ☆11Updated 7 months ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆56Updated last year
• danielgreenfeld3 / XIC
  Robust Learning with the Hilbert-Schmidt Independence Criterion
  ☆47Updated 5 years ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆18Updated last year