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.
  ☆40Updated 3 years ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆48Updated 4 years ago
• tdaverse / ggtda
  ggplot2 extension to visualize persistent homology
  ☆25Updated last week
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• erichson / rSVD
  Randomized Matrix Decompositions using R
  ☆102Updated 4 years ago
• jlmelville / smallvis
  R package for dimensionality reduction of small datasets
  ☆69Updated last week
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆58Updated last month
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated last month
• jamesyili / rTensor
  rTensor v1.2
  ☆35Updated 8 years ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• bwlewis / irlba
  Fast truncated singular value decompositions
  ☆131Updated last year
• bwlewis / GLM
  Notes on generalized linear models
  ☆109Updated 7 years ago
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆327Updated 9 years ago
• mhahsler / seriation
  Infrastructure for Ordering using Seriation - R Package
  ☆83Updated 2 months ago
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆70Updated 7 years ago
• jlmelville / uwot
  An R package implementing the UMAP dimensionality reduction method.
  ☆346Updated last month
• ropensci-archive / umapr
  ARCHIVED Wraps UMAP Algorithm for Dimension Reduction
  ☆111Updated 3 years ago
• andland / logisticPCA
  Dimensionality reduction for binary data
  ☆51Updated 5 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆42Updated 5 years ago
• helske / seqHMM
  Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
  ☆100Updated 3 weeks ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆76Updated 11 months ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆87Updated 2 years ago
• sorhawell / forestFloor
  R package to visualize mapping structures of random forests with feature contributions
  ☆41Updated 4 years ago
• ramhiser / datamicroarray
  A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
  ☆105Updated 9 years ago
• larslau / pavpop
  An R package for analysis of curve data with phase and amplitude variation
  ☆20Updated 6 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 9 years ago
• csgillespie / poweRlaw
  This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Ad…
  ☆113Updated 8 months ago