Alternatives and similar repositories for evaluating-generative-models

Users that are interested in evaluating-generative-models are comparing it to the libraries listed below

• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆33Updated 2 years ago
• kyg0910 / CI-iVAE
  ☆11Updated 2 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• clarafy / conformal-for-design
  ☆29Updated 3 years ago
• ggoh29 / Simplicial-neural-network-benchmark
  Simplicial neural network benchmarking software
  ☆17Updated 3 years ago
• rajesh-lab / ddlk
  Deep direct likelihood knockoffs
  ☆12Updated 4 years ago
• Genentech / nodags-flows
  ☆11Updated 3 months ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated 2 years ago
• tijana-zrnic / active-inference
  ☆17Updated last year
• Vekteur / multi-output-conformal-regression
  Implementation of multi-output conformal regression methods
  ☆11Updated 2 months ago
• cscarv / riemannian-metric-learning-ot
  ☆18Updated 2 years ago
• BorgwardtLab / ggme
  Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…
  ☆14Updated 3 years ago
• lrnzgiusti / can
  Official repository for Cell Attention Networks
  ☆14Updated last year
• pietrobarbiero / entropy-lens
  ☆18Updated 2 years ago
• tlacombe / topologicalUncertainty
  ☆11Updated 3 years ago
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆21Updated last year
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆24Updated 2 years ago
• trevor-richardson / MCFlow
  Monte Carlo Flow Models for Data Imputation
  ☆19Updated 5 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆23Updated 2 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆24Updated last year
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆38Updated last year
• lmotte / graph-prediction-with-fused-gromov-wasserstein
  Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…
  ☆14Updated 3 years ago
• atuannguyen / DIRT
  ☆10Updated 3 years ago
• Genentech / GraphGUIDE
  ☆12Updated 2 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 years ago
• BorgwardtLab / fisher_information_embedding
  Official code for Fisher information embedding for node and graph learning (ICML 2023)
  ☆19Updated 2 years ago
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆19Updated 2 years ago
• clementchadebec / geometric_perspective_on_vaes
  Code of "A Geometric Perspective on Variational Autoencoders" (NeurIPS 2022)
  ☆14Updated last year
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆36Updated last year
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆90Updated 2 years ago