Alternatives and similar repositories for MCFlow

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

• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆60Updated 2 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆85Updated 2 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆15Updated 4 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• sharpenb / Uncertainty-Event-Prediction
  Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)
  ☆18Updated 4 years ago
• probabilistic-learning / HI-VAE
  ☆91Updated 2 years ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆54Updated last year
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 3 years ago
• jcyang34 / lspin
  ☆11Updated 2 years ago
• stathius / sd-vae
  Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"
  ☆14Updated 2 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 3 years ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆24Updated 2 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆25Updated last month
• sjblim / rmsn_nips_2018
  ☆39Updated 6 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 6 years ago
• oscarkey / explanations-by-minimizing-uncertainty
  Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
  ☆18Updated 4 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 3 months ago
• google-deepmind / ssl_hsic
  ☆37Updated 10 months ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆46Updated last year
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆77Updated 3 years ago
• janosh / torch-mnf
  Multiplicative Normalizing Flows in PyTorch.
  ☆24Updated 3 weeks ago
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 3 years ago