Alternatives and similar repositories for Sweetwater

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

• ArcInstitute / arc-virtual-cell-atlas
  Arc Virtual Cell Atlas
  ☆393Updated 3 months ago
• snap-stanford / GEARS
  GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
  ☆280Updated 6 months ago
• theislab / single-cell-transformer-papers
  ☆324Updated 2 months ago
• OmicsML / awesome-foundation-model-single-cell-papers
  ☆320Updated last month
• ArcInstitute / state
  State is a machine learning model that predicts cellular perturbation response across diverse contexts
  ☆317Updated this week
• biomap-research / scFoundation
  ☆349Updated 6 months ago
• snap-stanford / UCE
  UCE is a zero-shot foundation model for single-cell gene expression data
  ☆214Updated 5 months ago
• Genentech / BRAID
  BRAID is a department within Genentech dedicated to advancing biological and clinical sciences through artificial intelligence.
  ☆208Updated this week
• Perturbation-Response-Prediction / PRnet
  PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…
  ☆55Updated 8 months ago
• Genentech / scimilarity
  A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to repr…
  ☆211Updated last month
• idekerlab / DrugCell
  A visible neural network model for drug response prediction
  ☆149Updated last year
• jkobject / geneformer
  ☆75Updated 2 months ago
• Genentech / gReLU
  gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
  ☆269Updated this week
• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆65Updated 2 weeks ago
• ml4bio / RNA-FM
  Nature Methods: RNA foundation model (together with RhoFold)
  ☆291Updated 2 months ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆55Updated 3 years ago
• openproblems-bio / openproblems
  Formalizing and benchmarking open problems in single-cell genomics
  ☆380Updated this week
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆122Updated 6 months ago
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆135Updated 5 months ago
• morris-lab / CellOracle
  This is the alpha version of the CellOracle package
  ☆373Updated 7 months ago
• CatIIIIIIII / RNAErnie
  Official implement of paper "Multi-purpose RNA Language Modeling with Motif-aware Pre-training and Type-guided Fine-tuning"
  ☆48Updated 10 months ago
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆158Updated 2 years ago
• vandijklab / cell2sentence
  Cell2Sentence: Teaching Large Language Models the Language of Biology
  ☆189Updated last month
• TencentAILabHealthcare / scBERT
  ☆320Updated 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
  ☆42Updated last month
• Multiomics-Analytics-Group / course_protein_language_modeling
  ☆37Updated last week
• kuixu / PrismNet
  Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure
  ☆65Updated last year
• OmicsML / awesome-deep-learning-single-cell-papers
  ☆799Updated 3 months ago
• phbradley / TCRdock
  python tools for TCR:peptide-MHC modeling and analysis
  ☆80Updated last year
• calico / borzoi
  RNA-seq prediction with deep convolutional neural networks.
  ☆186Updated 2 months ago