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
- Systematically learn and evaluate manifolds from high-dimensional data☆103Updated 2 weeks ago
- Sequence data label generation and ingestion into deep learning models☆12Updated 3 years ago
- A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap☆29Updated 3 years ago
- Latent spaces for single cells☆21Updated 2 years ago
- Explaining dimensionality results using SHAP values☆55Updated 9 months ago
- GPU-Parallelized UMAP☆52Updated 6 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Here I explain the math behind UMAP and show how to program it from scratch in Python☆38Updated 4 years ago
- Contrastive neighbor embeddings☆56Updated 2 months ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- Graph regularized nonnegative matrix factorization (GNMF) in Python☆45Updated 5 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
- ☆21Updated 8 years ago
- Group lasso based Deep Neural Network for Cancer Prognosis☆15Updated 5 years ago
- Categorical Variational Autoencoders☆24Updated 3 years ago
- Python Wrapper for FIt-SNE☆45Updated 4 years ago
- Hierarchical graph clustering☆38Updated 7 years ago
- ☆11Updated 5 months ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 4 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆59Updated 4 years ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Updated 4 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 2 years ago
- Tools for building and manipulating graphs in Python☆43Updated last week
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 3 years ago
- ☆11Updated 8 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 3 years ago
- deep learning toolkit (written on top of tensorflow) to streamline computational biology analysis☆22Updated 2 years ago
- ☆15Updated 2 years ago