chestnutly / -Links
各种工具零件的表面高精度缺陷检测
☆10Updated 5 years ago
Alternatives and similar repositories for -
Users that are interested in - are comparing it to the libraries listed below
Sorting:
- A comprehensive collection of data analysis and machine learning projects, showcasing techniques and models for various data challenges. …☆17Updated 11 months ago
- Self-supervised semi-supervised nonnegative matrix factorization for data clustering☆18Updated 2 years ago
- Community detection on Hollywood actors using various models: Louvain, Clauset-Newman-Moore, GCN, GraphSage, and GAT.☆10Updated 6 years ago
- Use GAN to generate Gaussian Distribution☆13Updated 6 years ago
- ☆15Updated last year
- Self-Adaptive Multi-Prototype-based Competitive Learning☆14Updated 6 years ago
- Single-cell RNA-seq clustering and annotation☆13Updated 5 years ago
- A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations☆20Updated 3 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
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Updated 6 years ago
- Project for EE609 Convex Optimization☆12Updated 4 years ago
- single-cell RNA-seq clustering☆10Updated 5 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆16Updated 3 years ago
- Deep Clustering Learning☆12Updated 6 years ago
- MATLAB codes for several tensor based methods for hypergraph partitioning and subspace clustering☆14Updated 7 years ago
- Code for WACV 2022 paper "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation"☆20Updated 3 years ago
- An algorithm used to classify the cell types from single cell rna sequence data.☆10Updated 4 years ago
- This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to applications of Deep Learning to …☆15Updated 3 months ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- ☆17Updated 5 years ago
- This is the repository for the single-cell transcriptomics application of the Deep Generative Decoder (DGD), developed by the Krogh group…☆15Updated last year
- fast hierarchical clustering for large-scale single-cell data☆10Updated 4 years ago
- Reproducibility for the "Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models" paper☆13Updated 3 years ago
- Imputation of single cell RNA-sequencing data with autoencoder☆16Updated 4 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 6 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 7 years ago
- Using VAEs to do clustering for classification☆11Updated 8 years ago
- a variational autoencoder method for clustering single-cell mutation data☆12Updated last year
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 4 years ago
- This is a python implementation of "Distributed k-Means and k-Median Clustering on General Topologies" by Maria Florina Balcan et al. (ht…☆15Updated 7 years ago