Alternatives and similar repositories for ne-spectrum:

Users that are interested in ne-spectrum are comparing it to the libraries listed below

• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• cantinilab / OT-scOmics
  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
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• NikolayOskolkov / tSNE_vs_UMAP_GlobalStructure
  Here we address the global structure preservation by tSNE and UMAP
  ☆48Updated 5 years ago
• dkobak / finer-tsne
  Code for the paper on t-SNE with variable degree of freedom
  ☆24Updated 4 years ago
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆33Updated 2 months ago
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆70Updated last year
• RabadanLab / scTDA
  An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data
  ☆7Updated 7 years ago
• davisidarta / topometry
  Systematically learn and evaluate manifolds from high-dimensional data
  ☆97Updated last year
• Genentech / dcdfg
  ☆24Updated 2 years ago
• ManchesterBioinference / GPcounts
  Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods
  ☆21Updated last month
• ManchesterBioinference / BranchedGP
  Branching Gaussian process
  ☆29Updated last year
• quadbio / latent-lego
  Latent spaces for single cells
  ☆21Updated last year
• canzarlab / JVis-learn
  ☆20Updated 3 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆36Updated 4 months ago
• aidos-lab / TARDIS
  TARDIS: Topological Algorithms for Robust DIscovery of Singularities
  ☆41Updated last year
• davisidarta / fastlapmap
  Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …
  ☆23Updated 3 years ago
• RabadanLab / randomly
  A Library for Denoising Single-Cell Data with Random Matrix Theory
  ☆37Updated last year
• PayamDiba / SERGIO
  A simulator for single-cell expression data guided by gene regulatory networks
  ☆60Updated 11 months ago
• zsteve / StationaryOT
  Dynamic inference from single-cell snapshots by optimal transport
  ☆19Updated last year
• NikolayOskolkov / HowUMAPWorks
  Here I explain the math behind UMAP and show how to program it from scratch in Python
  ☆38Updated 4 years ago
• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆42Updated 5 years ago
• TammoR / LogicalFactorisationMachines
  ☆21Updated 6 years ago
• tjiagoM / gtex-transcriptome-modelling
  Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
  ☆11Updated 3 years ago
• dkobak / tsne-umap-init
  Initialization is critical for preserving global data structure in both t-SNE and UMAP
  ☆22Updated 4 years ago
• facebookresearch / PoincareMaps
  The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…
  ☆148Updated 3 years ago
• SydneyBioX / SimBench
  ☆16Updated last year
• ManchesterBioinference / GrandPrix
  GrandPrix
  ☆16Updated 5 years ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• eugenelin1 / DRA
  ☆16Updated 4 years ago