damithsenanayake / SONGLinks
This Repository Contains the Source Code for the Python Implementation of Self Organizing Nebulous Growths
☆23Updated 2 years ago
Alternatives and similar repositories for SONG
Users that are interested in SONG are comparing it to the libraries listed below
Sorting:
- ☆63Updated 5 years ago
- Sequence data label generation and ingestion into deep learning models☆12Updated 3 years ago
- Explaining dimensionality results using SHAP values☆55Updated 8 months ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 4 years ago
- Systematically learn and evaluate manifolds from high-dimensional data☆101Updated 3 weeks ago
- ☆11Updated 4 months ago
- Contrastive neighbor embeddings☆55Updated last month
- The purpose of Raster Fairy is to transform any kind of 2D point cloud into a regular raster whilst trying to preserve the neighborhood r…☆13Updated 8 years ago
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆150Updated 4 years ago
- Code for the paper on t-SNE with variable degree of freedom☆12Updated 6 years ago
- Here I explain the math behind UMAP and show how to program it from scratch in Python☆38Updated 4 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 3 years ago
- Density-preserving data visualization tools den-SNE and densMAP☆114Updated 4 years ago
- GPU-Parallelized UMAP☆52Updated 6 years ago
- Latent spaces for single cells☆21Updated last year
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Updated 4 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Categorical Variational Autoencoders☆24Updated 3 years ago
- A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap☆29Updated 3 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 3 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆59Updated 4 years ago
- Tools for building and manipulating graphs in Python☆43Updated last month
- ☆15Updated 2 years ago
- Python Wrapper for FIt-SNE☆45Updated 4 years ago
- Group lasso based Deep Neural Network for Cancer Prognosis☆15Updated 5 years ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- A Jupyter widget for comparing two embeddings with shared labels by their confusion, neighborhoods, and size.☆47Updated 10 months ago
- ☆21Updated 8 years ago
- Mixture of Gaussian Processes Model for Sparse Longitudinal Data☆38Updated 2 years ago