chestnutly / -Links
各种工具零件的表面高精度缺陷检测
☆10Updated 4 years ago
Alternatives and similar repositories for -
Users that are interested in - are comparing it to the libraries listed below
Sorting:
- Self-supervised semi-supervised nonnegative matrix factorization for data clustering☆15Updated 2 years ago
- A comprehensive collection of data analysis and machine learning projects, showcasing techniques and models for various data challenges. …☆13Updated 7 months ago
- ☆15Updated last year
- Project for EE609 Convex Optimization☆12Updated 4 years ago
- Community detection on Hollywood actors using various models: Louvain, Clauset-Newman-Moore, GCN, GraphSage, and GAT.☆10Updated 5 years ago
- A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations☆20Updated 3 years ago
- Single-cell RNA-seq clustering and annotation☆13Updated 4 years ago
- Keras version of the MMD-Variational-Autoencoder☆10Updated 5 years ago
- Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.（原算法地址：https://github.com/lanbing510/DensityPeakClu…☆17Updated 6 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆16Updated 3 years ago
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Updated 5 years ago
- Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing☆11Updated 5 years ago
- SemI-SUpervised generative Autoencoder models for single cell data☆19Updated 4 years ago
- Reproducibility for the "Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models" paper☆13Updated 3 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- Imputation of single cell RNA-sequencing data with autoencoder☆16Updated 4 years ago
- An algorithm used to classify the cell types from single cell rna sequence data.☆10Updated 4 years ago
- Deep Clustering Learning☆12Updated 6 years ago
- scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder☆16Updated 4 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 6 years ago
- Sparse simplex projection-based Wasserstein k-means☆10Updated 4 years ago
- This is an implementation of the paper on "Improved K-means algorithm based on density Canopy".☆30Updated 6 years ago
- Keras Implementation of "Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering"☆11Updated 5 years ago
- Self-Adaptive Multi-Prototype-based Competitive Learning☆16Updated 6 years ago
- MATLAB codes for several tensor based methods for hypergraph partitioning and subspace clustering☆13Updated 6 years ago
- ☆17Updated 4 years ago
- single-cell RNA-seq clustering☆10Updated 4 years ago
- Novel joint clustering method with scRNA-seq and CITE-seq data☆10Updated 4 years ago
- This is the repository for the single-cell transcriptomics application of the Deep Generative Decoder (DGD), developed by the Krogh group…☆14Updated last year
- This algorithm is based on the paper 'K-Means clustering algorithm Based on Adapative Feature Weighted'☆30Updated 6 years ago