lilab-bcb / nmf-torch
☆10Updated 3 years ago
Alternatives and similar repositories for nmf-torch:
Users that are interested in nmf-torch are comparing it to the libraries listed below
- ☆10Updated 11 months ago
- Probabilistic contrastive principal component analysis (PCPCA)☆24Updated 3 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆59Updated 4 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆22Updated 4 years ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆38Updated 2 years ago
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 3 years ago
- Latent spaces for single cells☆21Updated last year
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- ☆16Updated 3 years ago
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆25Updated 3 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆41Updated 5 years ago
- Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data☆19Updated last week
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 4 years ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆30Updated 2 years ago
- Framework for integrating heterogeneous modalities of data☆17Updated 2 years ago
- Branching Gaussian process☆28Updated last year
- imaging demos☆9Updated 2 years ago
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 3 years ago
- Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods☆21Updated last month
- This is the repository for the single-cell transcriptomics application of the Deep Generative Decoder (DGD), developed by the Krogh group…☆13Updated 7 months ago
- Fast reconstruction of spatial networks from bioimages.☆25Updated last week
- Here I explain the math behind UMAP and show how to program it from scratch in Python☆38Updated 4 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆35Updated 3 months ago
- Source code for integrative nonnegative matrix factorization☆18Updated 6 years ago
- Testing if UMAP/tSNE overfit their intrinsic dimensionality☆15Updated last year
- Parallel opt-SNE implementation with Python wrapper☆37Updated 2 years ago
- Alignment of spatial genomics data using deep Gaussian processes☆27Updated 2 years ago
- Fast computation of diffusion maps and geometric harmonics in Python. Moved to https://git.sr.ht/~jmbr/diffusion-maps☆41Updated 3 years ago
- R package to infer spatial location of neuronal subpopulations within the developing mouse brain by integrating single-cell RNA-seq data …☆17Updated 9 years ago
- Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.☆70Updated 8 months ago