Alternatives and similar repositories for Graphical-modelling-continuous-time

Users that are interested in Graphical-modelling-continuous-time are comparing it to the libraries listed below

• causalbench / causalbench
  ☆45Updated last month
• uhlerlab / discrepancy_vae
  code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions
  ☆15Updated last year
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆23Updated last year
• KrishnaswamyLab / TrajectoryNet
  TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
  ☆120Updated 11 months ago
• KrishnaswamyLab / MIOFlow
  ☆28Updated 3 weeks ago
• ZixiangLuo1161 / scGAE
  single-cell graph autoencoder
  ☆24Updated 3 years ago
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆74Updated last year
• Murali-group / BoolODE
  Git Repo for simulating Boolean Models
  ☆35Updated last year
• Genentech / sVAE
  ☆63Updated 2 years ago
• bunnech / phd_thesis
  PhD Thesis
  ☆35Updated last year
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆152Updated 2 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆76Updated 3 years ago
• Genentech / MMFM
  ☆12Updated 8 months ago
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆20Updated 2 years ago
• PayamDiba / SERGIO
  A simulator for single-cell expression data guided by gene regulatory networks
  ☆63Updated last year
• msmdev / pyGPCCA
  pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…
  ☆21Updated 4 months ago
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆123Updated last year
• Genentech / nodags-flows
  ☆11Updated last year
• Genentech / dcdfg
  ☆26Updated 2 years ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆55Updated last year
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆142Updated 9 months ago
• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• alexw16 / gridnet
  ☆14Updated 3 weeks ago
• openproblems-bio / neurips2021_multimodal_topmethods
  ☆76Updated 3 years ago
• rvinas / HYFA
  Hypergraph Factorisation
  ☆24Updated 8 months ago
• amspector100 / knockpy
  Knockoffs for controlled variable selection
  ☆37Updated 3 weeks ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆102Updated 4 years ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated 10 months ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 4 years ago