Alternatives and similar repositories for MIOFlow

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

• atong01 / MultiscaleEMD
  Multiscale earth mover's distance methods for tree and manifold structured data
  ☆11Updated 5 months ago
• KrishnaswamyLab / TrajectoryNet
  TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
  ☆123Updated last year
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆18Updated last year
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆75Updated last year
• bunnech / phd_thesis
  PhD Thesis
  ☆35Updated last year
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆143Updated 9 months ago
• Genentech / sVAE
  ☆63Updated 2 years ago
• KrishnaswamyLab / Cell-Dynamics-Pipeline
  ☆10Updated last year
• openproblems-bio / neurips2021_multimodal_topmethods
  ☆77Updated 3 years ago
• causalbench / causalbench
  ☆45Updated 2 months ago
• kodaim1115 / scMM
  ☆17Updated 4 years ago
• OmicsML / scDiff
  scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
  ☆29Updated last year
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆123Updated 6 months ago
• ioanabica / DiffVAE
  Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…
  ☆18Updated 5 years ago
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆68Updated 6 months ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated 10 months ago
• uhlerlab / discrepancy_vae
  code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions
  ☆16Updated last year
• KatarinaYuan / awesome-single-cell-foundation
  Paper collection for single cell foundation models
  ☆32Updated last year
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆38Updated 8 months ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆44Updated last month
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆83Updated this week
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆109Updated last year
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆20Updated 2 years ago
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆28Updated last year
• Genentech / dcdfg
  ☆26Updated 2 years ago
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆27Updated 3 weeks ago
• zhenyiizhang / DeepRUOT
  Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport (ICLR'25 oral)
  ☆22Updated 2 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆52Updated 3 years ago
• yhchen1123 / CoGO
  CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure
  ☆17Updated 10 months ago
• alexw16 / gridnet
  ☆14Updated last month