chl8856 / DeepIMV
A Variational Information Bottleneck Approach to Multi-Omics Data Integration
☆22Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepIMV
- ☆15Updated 3 years ago
- Few shot learning for cancer☆34Updated 3 years ago
- AffinityNet with feature attention layer and kNN attention pooling layer for few-shot semi-supervised learning☆38Updated 6 years ago
- Learning Autoencoders with Relational Regularization☆44Updated 4 years ago
- ☆19Updated 4 years ago
- ☆16Updated 4 years ago
- The first GANs-based omics-to-omics translation framework☆11Updated last year
- Weakly Supervised Contrastive Learning☆40Updated 3 years ago
- GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…☆11Updated 3 years ago
- Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)☆26Updated 2 months ago
- MetaMix for ICML 2021☆27Updated 3 years ago
- Contains the code relative to the paper Unbalanced Optimal Transport through Non-negative Penalized Linear Regression https://arxiv.org/a…☆12Updated 3 years ago
- TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome☆13Updated 3 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆43Updated 2 years ago
- ☆34Updated 4 years ago
- ☆46Updated 4 years ago
- The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"☆35Updated last year
- SimTriplet: PyTorch Implementation☆25Updated 3 years ago
- ☆10Updated last year
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆31Updated 3 years ago
- ☆31Updated last month
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆53Updated 2 years ago
- Multiple instance learning with graph neural networks.☆30Updated 3 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 3 years ago
- Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images☆60Updated 2 years ago
- DeepPINK: reproducible feature selection in deep neural networks☆21Updated 8 months ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆44Updated last year
- Contrastive Variational Autoencoders☆61Updated 5 years ago
- This is the pytorch\DGL implementation of the AMIGO paper.☆11Updated 9 months ago
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆43Updated 8 months ago