Alternatives and similar repositories for DimensionReduction

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

• mattiasvillani / BayesianLearningBook
  Home for the book-in-progress 'Bayesian Learning'
  ☆28Updated 3 weeks ago
• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆29Updated last year
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 8 months ago
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• JamesYang007 / adelie
  A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
  ☆56Updated 3 months ago
• jrfiedler / causal_inference_julia_code
  Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆51Updated 3 years ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆88Updated 4 months ago
• LuZhangstat / Pathfinder
  ☆24Updated 3 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated last year
• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆23Updated this week
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆37Updated last year
• ryantibs / convexopt-book1
  Convex optimization for statistics and machine learning
  ☆34Updated 2 months ago
• StatisticalRethinkingJulia / SR2StanPluto.jl
  StatististicalRethinking notebook project using Stan and Pluto notebooks.
  ☆18Updated last year
• hagijyun / Time_Series_Analysis_4SSM_R_Stan
  Time Series Analysis for the State-Space Model with R/Stan
  ☆24Updated 4 years ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 4 years ago
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆46Updated 5 months ago
• storopoli / Turing-Workshop
  DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop
  ☆35Updated 4 years ago
• charlesm93 / stanTutorial
  Files for StanCon 2023 tutorial.
  ☆18Updated last year
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆49Updated last year
• alfredgalichon / VQR
  Code for Vector Quantile Regression (Carlier, Chernozhukov, Galichon, Annals of Statistics, 2016)
  ☆16Updated 4 years ago
• robsalomone / Deep-Probabilistic-Models-Course
  Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021
  ☆11Updated 3 years ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆33Updated 2 years ago
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆63Updated last month
• CDCgov / PyRenew
  Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
  ☆23Updated last week
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆156Updated 3 weeks ago
• avehtari / casestudies
  ☆30Updated last year
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆37Updated last year
• helske / KFAS
  KFAS: R Package for Exponential Family State Space Models
  ☆71Updated 5 months ago
• akira-endo / Intro-PMCMC
  Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.
  ☆13Updated 3 years ago
• rok-cesnovar / stan-distributions
  A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan impl…
  ☆44Updated 3 years ago