Alternatives and similar repositories for DeepIMV

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

• gevaertlab / metalearning_survival
  ☆16Updated 4 years ago
• idekerlab / TCRP
  Few shot learning for cancer
  ☆36Updated 3 years ago
• wenig / spl
  ☆19Updated 5 years ago
• daifengwanglab / JAMIE
  Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)
  ☆28Updated last month
• ruiyi-zhang / scPretrain
  scPretrain: Multi-task self-supervised learning for cell type classification
  ☆23Updated 3 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 5 years ago
• mandanasmi / TCGA_Benchmark
  TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome
  ☆14Updated 4 years ago
• zhangxiaoyu11 / OmiVAE
  End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.
  ☆34Updated 4 years ago
• BeautyOfWeb / AffinityNet
  AffinityNet with feature attention layer and kNN attention pooling layer for few-shot semi-supervised learning
  ☆38Updated 7 years ago
• hrlblab / SimTriplet
  SimTriplet: PyTorch Implementation
  ☆27Updated 4 years ago
• SichenZhu / Stem
  [ICLR 2025] Stem: Gene Expression Inference from Histology Images
  ☆38Updated 5 months ago
• carpenter-singh-lab / 2024_Arevalo_NeurIPS_MotiVE
  ☆19Updated 2 months ago
• TencentAILabHealthcare / MLA-GNN
  ☆44Updated 10 months ago
• KostiukIvan / Multiple-instance-learning-with-graph-neural-networks
  Multiple instance learning with graph neural networks.
  ☆30Updated 4 years ago
• FengHZ / SHOT-VAE
  The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"
  ☆35Updated 2 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆69Updated 6 years ago
• FengAoWang / TMO-Net
  ☆21Updated 6 months ago
• gmum / ProtoPShare
  GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…
  ☆13Updated 4 years ago
• zhangxiaoyu11 / OmiEmbed
  Multi-task deep learning framework for multi-omics data analysis
  ☆48Updated 3 years ago
• mingkai-zheng / WCL
  Weakly Supervised Contrastive Learning
  ☆43Updated 4 years ago
• JunwenBai / C-GMVAE
  C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
  ☆55Updated 2 years ago
• pievos101 / GNN-SubNet
  Disease subnetwork detection with explainable Graph Neural Networks
  ☆25Updated last year
• AgatheSenellart / MultiVae
  Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
  ☆52Updated last week
• FabianFalck / mfcvae
  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…
  ☆40Updated 2 years ago
• chenzRG / Cancer-Multi-Omics-Benchmark
  ☆50Updated 3 months ago
• cradleai / LKS-Dataset
  This is the official repo for the Liver Kidney Stomach dataset introduced in the paper: SOS: Selective Objective Switch for Rapid Immunof…
  ☆17Updated 5 years ago
• ndey96 / GCNN-Explainability
  Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories
  ☆84Updated 3 years ago
• Ray-rui / Dist-PU-Positive-Unlabeled-Learning-from-a-Label-Distribution-Perspective
  PyTorch implementation of Dist-PU (CVPR 2022)
  ☆28Updated 3 years ago
• ioanabica / DiffVAE
  Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…
  ☆18Updated 5 years ago
• HC-Feynman / vpu
  A PyTorch implementation of the Variational approach for PU learning
  ☆30Updated 5 years ago