NikolayOskolkov / HowUMAPWorksLinks
Here I explain the math behind UMAP and show how to program it from scratch in Python
☆38Updated 5 years ago
Alternatives and similar repositories for HowUMAPWorks
Users that are interested in HowUMAPWorks are comparing it to the libraries listed below
Sorting:
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- deep learning toolkit (written on top of tensorflow) to streamline computational biology analysis☆22Updated 2 years ago
- Latent spaces for single cells☆21Updated 2 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆61Updated 4 years ago
- Graph regularized nonnegative matrix factorization (GNMF) in Python☆46Updated 5 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 3 years ago
- Tools for building and manipulating graphs in Python☆46Updated last month
- The art of using t-SNE for single-cell transcriptomics☆130Updated last year
- Sequence data label generation and ingestion into deep learning models☆12Updated 4 years ago
- Disease pathways in the human interactome☆23Updated 7 years ago
- Parallel opt-SNE implementation with Python wrapper☆38Updated 3 years ago
- Creating multi-resolution embeddings and clusters from high dimensional data☆57Updated last year
- Categorical Variational Autoencoders☆24Updated 3 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
- Testing if UMAP/tSNE overfit their intrinsic dimensionality☆16Updated 2 years ago
- pysster: Learning Sequence And Structure Motifs In Biological Sequences Using Convolutional Neural Networks☆86Updated 6 years ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆42Updated 2 years ago
- Systematically learn and evaluate manifolds from high-dimensional data☆104Updated 3 months ago
- Find bimodal, unimodal, and multimodal features in your data☆27Updated 7 years ago
- ☆63Updated 5 years ago
- Contrastive PCA☆231Updated 3 months ago
- ☆17Updated 5 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Compute a 2D embedding of a data matrix given supervised class information.☆12Updated 6 years ago
- ☆11Updated 8 years ago
- Archetypal Analysis network (AAnet)☆39Updated 11 months ago
- Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"☆46Updated 2 years ago
- Concise: Keras extension for regulatory genomics☆35Updated 3 years ago
- Integrative orthogonal non-negative matrix factorization☆32Updated 6 years ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated 2 years ago