Alternatives and similar repositories for MultiscaleEMD

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

• KrishnaswamyLab / Cell-Dynamics-Pipeline
  ☆10Updated last year
• KrishnaswamyLab / MIOFlow
  ☆32Updated this week
• Genentech / sVAE
  ☆63Updated 2 years ago
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆19Updated last year
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆148Updated 11 months ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆115Updated last year
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆91Updated last week
• Bertinus / FLeCS
  Functional and Learnable Cell dynamicS
  ☆19Updated 5 months ago
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆27Updated 3 months ago
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆77Updated last year
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆127Updated 8 months ago
• Genentech / iterative-perturb-seq
  Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors
  ☆41Updated last year
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆49Updated 3 months ago
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆77Updated 8 months ago
• evanseitz / squid-nn
  surrogate quantitative interpretability for deepnets
  ☆24Updated 2 months ago
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆42Updated 2 years ago
• theislab / inVAE
  Invariant Representation learning
  ☆18Updated last year
• AIH-SGML / mixmil
  Code for the paper: Mixed Models with Multiple Instance Learning
  ☆21Updated last month
• kodaim1115 / scMM
  ☆18Updated 4 years ago
• KrishnaswamyLab / TrajectoryNet
  TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
  ☆126Updated last year
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• theislab / ncem
  Learning cell communication from spatial graphs of cells
  ☆113Updated last year
• nitzanlab / biolord
  ☆85Updated last year
• dpeerlab / WassersteinWormhole
  Transformer Based Embeddings of Wasserstein Distance
  ☆20Updated last month
• sanderlab / CellBox
  CellBox: Interpretable Machine Learning for Perturbation Biology
  ☆56Updated 2 years ago
• alexw16 / gridnet
  ☆15Updated 3 months ago
• theislab / prophet
  ☆35Updated last month
• KatarinaYuan / awesome-single-cell-foundation
  Paper collection for single cell foundation models
  ☆35Updated last year
• theislab / IMPA
  ☆19Updated 9 months ago
• bowang-lab / scFormer
  ☆19Updated 2 years ago