davisidarta / fastlapmapLinks
Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's implementation and escalates linearly beyond 10e6 samples.
☆23Updated 4 years ago
Alternatives and similar repositories for fastlapmap
Users that are interested in fastlapmap are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Graph regularized nonnegative matrix factorization (GNMF) in Python☆45Updated 5 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆24Updated 4 years ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 3 years ago
- c-lasso: a Python package for constrained sparse regression and classification☆32Updated 4 years ago
- Contrastive PCA☆229Updated last month
- Latent spaces for single cells☆21Updated 2 years ago
- ☆11Updated 5 months ago
- Python Wrapper for FIt-SNE☆45Updated 4 years ago
- Systematically learn and evaluate manifolds from high-dimensional data☆103Updated last month
- Categorical Variational Autoencoders☆24Updated 3 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
- Parallel opt-SNE implementation with Python wrapper☆37Updated 3 years ago
- A Python package for General Graphical Lasso computation☆39Updated 8 months ago
- ☆33Updated 6 months ago
- Use LSTM neural network for 1D distributional data prediction☆22Updated 3 years ago
- Implemented Laplacian Eigenmaps☆20Updated 4 years ago
- Tools for building and manipulating graphs in Python☆45Updated 3 weeks ago
- Python Matrix Factorization Module☆14Updated 8 years ago
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆28Updated 4 years ago
- ☆21Updated 6 years ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 4 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
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 2 years ago
- deep learning toolkit (written on top of tensorflow) to streamline computational biology analysis☆22Updated 2 years ago
- A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a co…☆74Updated 3 years ago
- This Repository Contains the Source Code for the Python Implementation of Self Organizing Nebulous Growths☆23Updated 2 years ago
- Contrastive neighbor embeddings☆56Updated last week