Alternatives and similar repositories for HoeffdingD

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

• fabian-sp / GGLasso
  A Python package for General Graphical Lasso computation
  ☆36Updated 5 months ago
• pierrebaudot / infotopopy
  computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep …
  ☆38Updated 3 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated 2 years ago
• joshloyal / sliced
  sliced: scikit-learn compatible sufficient dimension reduction
  ☆19Updated last year
• alexisbellot / GCIT
  Conditional Independence Testing with Generative Adversarial Networks
  ☆12Updated 5 years ago
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆87Updated 2 years ago
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆49Updated last year
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆136Updated last year
• abonyilab / NOCAD
  NOCAD - Network based Observability and Controlability Analysis of Dynamical Systems toolbox for MATLAB and Octave
  ☆13Updated 6 years ago
• yjingj / BFDA
  Matlab toolbox for Bayesian functional data analysis
  ☆19Updated 7 years ago
• andrewcharlesjones / multi-group-GP
  Multi-group Gaussian process (MGGP)
  ☆21Updated last year
• engellab / neuralflow
  The framework for inferring Langevin dynamics from spike data
  ☆40Updated 2 months ago
• functionaldata / PACE_matlab
  ☆15Updated 3 years ago
• berenslab / patch-seq-rrr
  Sparse reduced-rank regression
  ☆20Updated 7 months ago
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆120Updated 6 months ago
• willieneis / gp-martingales
  Uncertainty quantification using martingales for misspecified Gaussian processes
  ☆9Updated 4 years ago
• andrewcharlesjones / pcpca
  Probabilistic contrastive principal component analysis (PCPCA)
  ☆24Updated 3 years ago
• fdtomasi / regain
  REGAIN (Regularised Graphical Inference)
  ☆29Updated 2 years ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆89Updated last month
• acerbilab / pybads
  PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
  ☆75Updated 6 months ago
• NinelK / CopulaGP
  Copula-GP model
  ☆17Updated last year
• nickc1 / skccm
  Convergent Cross Mapping in Scikit Learn's style
  ☆98Updated 5 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆115Updated last year
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 4 years ago
• Eden-Kramer-Lab / dppm
  Matlab pipeline for simulating dynamical networks and evaluating dynamic community tracking methods, including CPM, MMM and DPPM
  ☆13Updated 4 years ago
• wongswk / magi
  ☆15Updated 9 months ago
• tansey / smoothfdr
  False discovery rate smoothing
  ☆14Updated 5 years ago
• olavolav / te-causality
  Generalized Transfer Entropy analysis for model-free network reconstruction.
  ☆30Updated 4 years ago
• arthurpessa / ordpy
  A Python package for data analysis with permutation entropy and ordinal network methods.
  ☆103Updated 3 months ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆152Updated 2 years ago