Alternatives and similar repositories for dyn-gfn

Users that are interested in dyn-gfn are comparing it to the libraries listed below

• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆91Updated 2 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆77Updated 4 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• yannadani / vcn_pytorch
  Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"
  ☆17Updated 4 years ago
• psanch21 / causal-flows
  ☆53Updated last year
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆89Updated last year
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆71Updated 11 months ago
• KrishnaswamyLab / TrajectoryNet
  TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
  ☆130Updated last year
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆52Updated last year
• Genentech / dcdfg
  ☆28Updated 3 years ago
• juangamella / aicp
  Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…
  ☆21Updated 2 years ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆28Updated 3 years ago
• sharpenb / Differentiable-DAG-Sampling
  Differentiable DAG Sampling (ICLR 2022)
  ☆38Updated 3 years ago
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆42Updated 5 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆31Updated 9 months ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆18Updated 2 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆25Updated last year
• gemoran / sparse-vae-code
  ☆31Updated 3 years ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆42Updated last year
• jacobdeasy / geometric-js
  ☆17Updated 4 years ago
• Genentech / nodags-flows
  ☆11Updated 5 months ago
• phlippe / BISCUIT
  Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)
  ☆38Updated last year
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆86Updated 2 years ago
• bunnech / phd_thesis
  PhD Thesis
  ☆39Updated 2 years ago
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆19Updated 2 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆87Updated 2 years ago
• akekic / causal-component-analysis
  ☆25Updated 2 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 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…
  ☆22Updated last year