Alternatives and similar repositories for scldm

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

• theislab / graphcompass
  GraphCompass: Graph Comparison Tools for Differential Analyses in Spatial Systems
  ☆38Updated 6 months ago
• laminlabs / bionty
  Access & manage biological ontologies.
  ☆22Updated this week
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆33Updated 5 months ago
• jkobject / scDataLoader
  a dataloader to work with large single cell datasets from lamindb
  ☆32Updated 3 weeks ago
• mlbio-epfl / LUNA
  Tissue reassembly with generative AI
  ☆23Updated 7 months ago
• theislab / geome
  ☆15Updated last month
• Genentech / sVAE
  ☆63Updated 2 years ago
• cellarium-ai / cellarium-ml
  Distributed single-cell data analysis.
  ☆35Updated last month
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆104Updated 2 weeks ago
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆153Updated last year
• bowang-lab / scFormer
  ☆19Updated 2 years ago
• theislab / ncem
  Learning cell communication from spatial graphs of cells
  ☆114Updated last year
• scverse / scvi-tools-skeleton
  Template repository for creating novel models with scvi-tools
  ☆20Updated 2 years ago
• theislab / prophet
  ☆38Updated 3 weeks ago
• czi-ai / transcriptformer
  ☆98Updated 2 months ago
• cantinilab / Mowgli
  Single-cell multi-omics integration using Optimal Transport
  ☆48Updated 4 months ago
• sanderlab / CellBox
  CellBox: Interpretable Machine Learning for Perturbation Biology
  ☆56Updated 2 years ago
• scDiffEq / scDiffEq
  Learn single-cell dynamics using neural differential equations
  ☆45Updated this week
• krishnanlab / obnb
  A Python toolkit for setting up benchmarking dataset using biomedical networks
  ☆22Updated last month
• scverse / pytometry
  Flow & mass cytometry analytics.
  ☆58Updated 2 weeks ago
• chanzuckerberg / cz-benchmarks
  cz-benchmarks is a package for standardized evaluation and comparison of machine learning models for biological applications.
  ☆46Updated 3 weeks ago
• idekerlab / MuSIC
  Multi-Scale Integrated Cell
  ☆36Updated 3 years ago
• ratschlab / pmvae
  Code for pmVAE model, seen in ICML CompBio '21
  ☆12Updated last year
• aristoteleo / tabula
  federated learning with tabular learning
  ☆25Updated 10 months ago
• mdayao / ramces
  RAnking Markers for CEll Segmentation
  ☆12Updated 3 years ago
• sysbio-curie / transmorph
  Computational framework for dataset integration
  ☆11Updated 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 9 months ago
• ArcInstitute / cell-load
  pytorch dataloaders for single-cell perturbation data
  ☆39Updated last month
• MICS-Lab / novae
  Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many othe…
  ☆107Updated this week
• microsoft / zero-shot-scfoundation
  ☆76Updated last year