Alternatives and similar repositories for MCFlow:

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

• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆37Updated last year
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 7 months ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆25Updated 2 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• facebookresearch / Addressing-the-Topological-Defects-of-Disentanglement
  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
  ☆22Updated 2 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆16Updated 4 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated 2 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆85Updated 2 years ago
• lauramanduchi / DC-GMM
  This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
  ☆33Updated 3 years ago
• stathius / sd-vae
  Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"
  ☆14Updated last year
• MarkPKCollier / MissingDataVAEs
  ☆19Updated 4 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• zhougroup / BAM
  Bayesian Attention Modules
  ☆35Updated 4 years ago
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆59Updated 2 years ago
• hongyuanmei / nce-mpp
  Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
  ☆15Updated 4 years ago
• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆43Updated 4 months ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago
• CW-Huang / HIWAE
  code for hierarchical importance weighted autoencoders
  ☆11Updated 5 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆23Updated 2 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆76Updated 2 years ago
• alexlyzhov / latent-subspaces
  Implementation of "Learning latent subspaces in variational autoencoders"
  ☆20Updated 5 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆26Updated 4 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 2 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆34Updated 4 years ago