Alternatives and similar repositories for knnie

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

• BiuBiuBiLL / NPEET_LNC
  local non-uniformity correction for mutual information estimation
  ☆71Updated 4 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆72Updated 6 years ago
• eltrompetero / coniii
  Convenient Interface to Inverse Ising (ConIII)
  ☆21Updated 2 months ago
• danielkunin / Regularized-Linear-Autoencoders
  Loss Landscapes of Regularized Linear Autoencoders
  ☆147Updated 3 years ago
• lchizat / optimal-transport
  Optimal transport and generalizations
  ☆66Updated 6 years ago
• mijungi / lllvm
  ☆17Updated 10 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 4 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• twgr / ccfs
  Canonical Correlation Forests
  ☆21Updated 7 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 5 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆56Updated 4 years ago
• rflamary / OTML_Statlearn2018
  Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018
  ☆26Updated 7 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆23Updated 8 years ago
• BasisResearch / millipede
  A library for bayesian variable selection
  ☆31Updated 10 months ago
• davidandrzej / PyIBP
  NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
  ☆52Updated 7 years ago
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆117Updated 4 years ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆31Updated 3 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆83Updated 5 years ago
• fdtomasi / regain
  REGAIN (Regularised Graphical Inference)
  ☆29Updated 2 years ago
• kjohnsson / intrinsicDimension
  Methods for estimating intrinsic dimension and methods for generating data on manifolds
  ☆12Updated 6 years ago
• EmoryUniversityTheoreticalBiophysics / SirIsaac
  Automated dynamical systems inference
  ☆38Updated 2 years ago
• rsonthal / TreeRep
  Learning Tree structures and Tree metrics
  ☆24Updated last year
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated 2 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆39Updated 9 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• ericsuh / dirichlet
  Dirichlet MLE python library
  ☆117Updated 4 months ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆29Updated 7 years ago
• CalculatedContent / ImplicitSelfRegularization
  Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
  ☆46Updated 6 years ago
• fabian-sp / GGLasso
  A Python package for General Graphical Lasso computation
  ☆39Updated 9 months ago
• BigBayes / BNPMix.jl
  Bayesian Nonparametric Mixture Models in Julia
  ☆14Updated 8 years ago