Alternatives and similar repositories for TDAmapper:

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

• rrrlw / TDAstats
  R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
  ☆39Updated 3 years ago
• jlmelville / smallvis
  R package for dimensionality reduction of small datasets
  ☆68Updated last month
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• tdaverse / ggtda
  ggplot2 extension to visualize persistent homology
  ☆22Updated 9 months ago
• shaelebrown / TDApplied
  An R package for statistics and machine learning with persistence diagrams
  ☆16Updated 3 months ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• andland / generalizedPCA
  Dimensionality reduction for exponential family data by extending PCA
  ☆23Updated 6 years ago
• ccrainic / upstrap
  Materials accompanying the upstrap paper
  ☆12Updated 4 years ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆46Updated 3 years ago
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated 3 months ago
• sorhawell / forestFloor
  R package to visualize mapping structures of random forests with feature contributions
  ☆42Updated 3 years ago
• nullsatz / gputools
  gputools R package for gpu computing
  ☆68Updated 6 years ago
• tdaverse / tdaverse
  an R package collection for topological data analysis
  ☆12Updated 3 months ago
• csgillespie / poweRlaw
  This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Ad…
  ☆109Updated 2 weeks ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 10 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆11Updated 7 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• theodds / SoftBART
  ☆31Updated last month
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆72Updated 3 months ago
• kapelner / ICEbox
  An R package for better visualizing a statistical learning model
  ☆34Updated 2 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆64Updated 4 years ago
• kisungyou / Rdimtools
  Dimension Reduction and Estimation Methods
  ☆52Updated 2 years ago
• ropensci-archive / umapr
  ARCHIVED Wraps UMAP Algorithm for Dimension Reduction
  ☆112Updated 2 years ago
• to-mi / stan-survival-shrinkage
  Bayesian linear survival analysis with shrinkage priors in Stan
  ☆24Updated 9 years ago
• bwlewis / irlba
  Fast truncated singular value decompositions
  ☆128Updated 11 months ago
• DataSlingers / clustRviz
  Compute Convex (Bi)Clustering Solutions via Algorithmic Regularization
  ☆19Updated 4 years ago
• jamesyili / rTensor
  rTensor v1.2
  ☆34Updated 7 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆43Updated 4 years ago