Alternatives and similar repositories for BNMTF:

Users that are interested in BNMTF are comparing it to the libraries listed below

• acopar / fast-nmtf
  Fast methods for non-negative matrix tri-factorization
  ☆15Updated 5 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆58Updated 4 years ago
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆41Updated 2 years ago
• mstrazar / iONMF
  Integrative orthogonal non-negative matrix factorization
  ☆31Updated 5 years ago
• ManchesterBioinference / BranchedGP
  Branching Gaussian process
  ☆28Updated last year
• lujonathanh / BETS
  Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…
  ☆18Updated 2 years ago
• NikolayOskolkov / HowUMAPWorks
  Here I explain the math behind UMAP and show how to program it from scratch in Python
  ☆38Updated 4 years ago
• redst4r / pyDiffusionMaps
  Diffusion maps for python
  ☆12Updated 4 years ago
• NikolayOskolkov / tSNE_vs_UMAP_GlobalStructure
  Here we address the global structure preservation by tSNE and UMAP
  ☆47Updated 4 years ago
• ChrisSchinnerl / pymf3
  Python Matrix Factorization Module
  ☆14Updated 7 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆68Updated 5 years ago
• ppsp-team / StratiPy
  Graph regularized nonnegative matrix factorization (GNMF) in Python
  ☆45Updated 4 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 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
• aalto-ics-kepaco / comboFM
  Machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines o…
  ☆26Updated 4 years ago
• davisidarta / fastlapmap
  Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …
  ☆23Updated 3 years ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated 2 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 10 months ago
• TammoR / LogicalFactorisationMachines
  ☆21Updated 5 years ago
• vandijklab / scGAT
  Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…
  ☆16Updated 4 years ago
• jaak-s / macau
  Bayesian Factorization with Side Information in C++ with Python wrapper
  ☆41Updated 3 years ago
• xypan1232 / iDeepV
  iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.
  ☆10Updated 5 years ago
• satwik77 / libnmf
  Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)
  ☆33Updated 6 years ago
• pamattei / GSPPCA
  This R code implements the GSPPCA algorithm for high-dimensional unsupervised feature selection.
  ☆10Updated 4 years ago
• jssong-lab / maxEnt
  ☆11Updated 7 years ago
• samuela / oi-vae
  Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"
  ☆26Updated 4 years ago
• neurodata / mgcpy-old
  MGCPY WILL NO LONGER BE UPDATED. THE NEW REPO CAN BE FOUND HERE:
  ☆31Updated 4 years ago