Alternatives and similar repositories for nmf-torch:

Users that are interested in nmf-torch are comparing it to the libraries listed below

• Jinke-Liu / Distance-of-distance-tSNE
  ☆10Updated 8 months ago
• dkobak / tsne-umap-init
  Initialization is critical for preserving global data structure in both t-SNE and UMAP
  ☆22Updated 3 years ago
• andrewcharlesjones / pcpca
  Probabilistic contrastive principal component analysis (PCPCA)
  ☆24Updated 3 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆58Updated 3 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆25Updated 3 years ago
• quadbio / latent-lego
  Latent spaces for single cells
  ☆21Updated last year
• 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 last year
• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆41Updated 4 years ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆30Updated 2 years ago
• ManchesterBioinference / BranchedGP
  Branching Gaussian process
  ☆28Updated last year
• pachterlab / CBP_2021
  ☆16Updated 3 years ago
• sofroniewn / image-demos
  imaging demos
  ☆9Updated 2 years ago
• drasros / neuralICA
  Independent Component Analysis (or other spacial recomposition) embedded in neural layers
  ☆13Updated 7 years ago
• trneedham / QuantizedGromovWasserstein
  Scalable framework for comparing metric measure spaces with up to 1M points.
  ☆14Updated 3 years ago
• scottyler89 / umap_tsne_experiment
  Testing if UMAP/tSNE overfit their intrinsic dimensionality
  ☆14Updated last year
• omiq-ai / Multicore-opt-SNE
  Parallel opt-SNE implementation with Python wrapper
  ☆37Updated 2 years ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆49Updated 3 months ago
• AllenCell / cvapipe_analysis
  Analysis of data produced by cvapipe for the variance paper
  ☆22Updated 3 weeks ago
• gmum / wica
  WICA: nonlinear weighted ICA
  ☆11Updated last year
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 2 years ago
• jmbr / diffusion-maps
  Fast computation of diffusion maps and geometric harmonics in Python. Moved to https://git.sr.ht/~jmbr/diffusion-maps
  ☆41Updated 3 years ago
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆41Updated 2 years ago
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• sunericd / dynamicviz
  ☆58Updated 2 weeks ago
• CamaraLab / CAJAL
  A Python package using Gromov-Wasserstein distance to compare cell shapes
  ☆17Updated this week
• VeraPancaldiLab / tysserand
  Fast reconstruction of spatial networks from bioimages.
  ☆25Updated 5 months ago
• NikolayOskolkov / HowUMAPWorks
  Here I explain the math behind UMAP and show how to program it from scratch in Python
  ☆38Updated 4 years ago
• ioanabica / DiffVAE
  Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…
  ☆18Updated 4 years ago
• pachterlab / picasso
  Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.
  ☆70Updated 6 months ago
• JaneliaMLCourse / JaneliaMLCourse
  ☆19Updated 6 years ago