Alternatives and similar repositories for gridnet

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

• kodaim1115 / scMM
  ☆18Updated 4 years ago
• ml4bio / CLEAR
  CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
  ☆35Updated 3 years ago
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆76Updated 10 months ago
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆109Updated last week
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆59Updated last week
• yhr91 / GEARS_misc
  ☆25Updated last year
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆131Updated last year
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 4 years ago
• const-ae / linear_perturbation_prediction-Paper
  ☆69Updated 6 months ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆34Updated last year
• HantaoShu / DeepSEM
  ☆90Updated 2 years ago
• yulun-rayn / graphVCI
  Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)
  ☆19Updated 7 months ago
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆153Updated last year
• OmicsML / scDiff
  scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
  ☆32Updated last year
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆82Updated 10 months ago
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆141Updated 11 months ago
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆172Updated 3 years ago
• openproblems-bio / neurips2021_multimodal_topmethods
  ☆80Updated 3 years ago
• bm2-lab / scPerturBench
  Single-cell perturbation effects prediction benchmark
  ☆50Updated 2 weeks ago
• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆88Updated last week
• KatarinaYuan / awesome-single-cell-foundation
  Paper collection for single cell foundation models
  ☆35Updated last year
• siyuh / Squidiff
  ☆104Updated 2 months ago
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆33Updated 5 months ago
• Genentech / sVAE
  ☆64Updated 2 years ago
• cmzuo11 / scMVAE
  Deep joint-leaning single-cell multi-omics model
  ☆15Updated 3 years ago
• ttgump / scDeepCluster_pytorch
  Pytorch implementation of scDeepCluster for Single Cell RNA-seq data
  ☆34Updated last year
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆28Updated last year
• yuzhenmao / ScRAT
  Implementation of Phenotype prediction from single-cell RNA-seq data using attention-based neural networks (Bioinformatics 2024).
  ☆13Updated last year
• TuftsBCB / RegDiffusion
  Diffusion model for gene regulatory network inference.
  ☆24Updated 5 months ago
• biomed-AI / GraphSCI
  Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks
  ☆20Updated last year