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
  ☆55Updated 6 months ago
• KrishnaswamyLab / MIOFlow
  ☆34Updated 2 months ago
• KrishnaswamyLab / TrajectoryNet
  TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
  ☆131Updated last year
• Genentech / MMFM
  ☆18Updated last year
• uhlerlab / discrepancy_vae
  code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions
  ☆15Updated 2 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆25Updated last year
• Genentech / sVAE
  ☆63Updated 2 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆77Updated 3 years ago
• Genentech / dcdfg
  ☆28Updated 3 years ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆155Updated 2 years ago
• bunnech / phd_thesis
  PhD Thesis
  ☆37Updated 2 years ago
• msmdev / pyGPCCA
  pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…
  ☆25Updated 8 months ago
• Genentech / nodags-flows
  ☆11Updated 4 months ago
• PayamDiba / SERGIO
  A simulator for single-cell expression data guided by gene regulatory networks
  ☆70Updated last year
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆77Updated last year
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆58Updated 3 months ago
• Murali-group / BoolODE
  Git Repo for simulating Boolean Models
  ☆36Updated last month
• rvinas / HYFA
  Hypergraph Factorisation
  ☆26Updated last year
• dpeerlab / WassersteinWormhole
  Transformer Based Embeddings of Wasserstein Distance
  ☆20Updated 3 months ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆34Updated last year
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆22Updated 2 years ago
• gemoran / sparse-vae-code
  ☆31Updated 3 years ago
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆152Updated last year
• alexw16 / gridnet
  ☆15Updated 5 months ago
• zsteve / gWOT
  Global Waddington-OT
  ☆23Updated 9 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…
  ☆137Updated last year
• openproblems-bio / neurips2021_multimodal_topmethods
  ☆80Updated 3 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆38Updated last year
• aristoteleo / tabula
  federated learning with tabular learning
  ☆25Updated 9 months ago