Alternatives and similar repositories for scEval

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

• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆63Updated this week
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆128Updated 3 months ago
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆94Updated 2 months ago
• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆86Updated last year
• cantinilab / scPRINT
  single cell foundation model for Gene network inference and more
  ☆86Updated last week
• clinicalml / sc-foundation-eval
  Code for evaluating single cell foundation models scBERT and scGPT
  ☆44Updated 9 months ago
• SuperBianC / scMulan
  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
  ☆58Updated last year
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆67Updated 2 years ago
• yhr91 / GEARS_misc
  ☆20Updated 8 months ago
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆26Updated 2 months ago
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆152Updated 2 years ago
• jkobject / geneformer
  ☆69Updated 3 weeks ago
• JackieHanLab / TOSICA
  Transformer for One-Stop Interpretable Cell-type Annotation
  ☆142Updated last year
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆42Updated last year
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆65Updated 3 months ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆100Updated 10 months ago
• theislab / CFGen
  ☆17Updated 2 months ago
• microsoft / zero-shot-scfoundation
  ☆66Updated 9 months ago
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆57Updated this week
• Lotfollahi-lab / nichecompass
  End-to-end analysis of spatial multi-omics data
  ☆78Updated 3 months ago
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆73Updated 3 months ago
• HelloWorldLTY / scELMo
  Codes for paper: scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis
  ☆13Updated 6 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
  ☆34Updated last month
• HantaoShu / DeepSEM
  ☆82Updated last year
• theislab / scTab
  ☆59Updated 9 months ago
• labomics / midas
  ☆56Updated last week
• ZhangLabGT / scMultiSim
  A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.
  ☆52Updated 5 months ago
• PharMolix / LangCell
  Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".
  ☆59Updated 5 months ago
• snap-stanford / SATURN
  ☆129Updated 11 months ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated 8 months ago