Alternatives and similar repositories for scDiff:

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

• jsxlei / scCLIP
  ☆28Updated last year
• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆82Updated last year
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆22Updated 3 weeks ago
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆26Updated last year
• HelloWorldLTY / scEval
  Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.
  ☆68Updated 3 months ago
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆59Updated last month
• Genentech / PerturbQA
  ☆12Updated last month
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆90Updated 3 weeks ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated 6 months ago
• QSong-github / SiGra
  Single-cell spatial elucidation through image-augmented graph transformer
  ☆31Updated last year
• microsoft / zero-shot-scfoundation
  ☆59Updated 7 months ago
• yulun-rayn / graphVCI
  This repository implements Graph Variational Causal Inference (graphVCI), a framework that integrates prior knowledge of relational infor…
  ☆16Updated 2 months ago
• HelloWorldLTY / scELMo
  Codes for paper: scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis
  ☆12Updated 4 months ago
• KatarinaYuan / awesome-single-cell-foundation
  Paper collection for single cell foundation models
  ☆32Updated last year
• kodaim1115 / scMM
  ☆17Updated 3 years ago
• kimmo1019 / JAE
  Single cell joint embedding and modality prediction with autoencoder
  ☆9Updated 2 years ago
• theislab / scTab
  ☆58Updated 7 months ago
• Genentech / pascient
  ☆12Updated 2 weeks ago
• mcgilldinglab / scCross
  A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simul…
  ☆15Updated last month
• DeepGraphLearning / scCello
  [NeurIPS 2024 Spotlight] A cell-ontology guided transcriptome foundation model
  ☆14Updated last month
• jiang-q19 / scPRAM
  scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism
  ☆13Updated 6 months ago
• SabbaghCodes / ImbalancedLearningForSingleCellFoundationModels
  Code for the benchmarking single-cell foundation models (scGPT, scBERT, and Geneformer) for cell-type annotation task using skewed single…
  ☆13Updated 4 months ago
• Teichlab / celcomen
  ☆12Updated last month
• yhr91 / GEARS_misc
  ☆20Updated 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
  ☆32Updated 2 months ago
• clinicalml / sc-foundation-eval
  Code for evaluating single cell foundation models scBERT and scGPT
  ☆42Updated 7 months ago
• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆51Updated last month
• SuperBianC / scMulan
  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
  ☆57Updated 10 months ago
• czi-ai / scGenePT
  ☆14Updated 2 months ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆99Updated 8 months ago