Alternatives and similar repositories for btest

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

• regreg / regreg
  A multi-algorithm Python framework for regularized regression
  ☆13Updated last year
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 8 years ago
• mijungi / lllvm
  ☆16Updated 9 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆59Updated 5 years ago
• lockEF / MultiwayRegression
  Perform tensor-on-tensor regression
  ☆20Updated 6 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago
• caus-am / sigmasep
  Code for UAI 2018 paper by Forré & Mooij (causal discovery with mSCMs using sigma-separation)
  ☆10Updated 5 years ago
• BorgwardtLab / MID
  MID (Mutual Information Dimension) for measuring statistical dependence between two random variables
  ☆12Updated 12 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 9 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• jayanthkoushik / torch-gel
  Group elastic net implementation in PyTorch.
  ☆45Updated 4 years ago
• jjfeng / spinn
  Sparse-input neural networks
  ☆23Updated 2 years ago
• soudry / ROI_detect
  Automatic ROI Detection
  ☆19Updated 9 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆75Updated 8 years ago
• rtavenar / SparseGroupLasso
  ☆39Updated 6 years ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 7 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 6 years ago
• lacerbi / workshop-bristol-2019
  Introductory workshop to modeling and model fitting in psychophysics and neuroscience
  ☆11Updated 6 years ago
• lopezpaz / causation_learning_theory
  Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
  ☆30Updated 5 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated 2 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆27Updated 10 years ago
• adler-j / wasserstein_inverse_problems
  Code for the article "Learning to solve inverse problems using Wasserstein loss"
  ☆28Updated 7 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆106Updated 6 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆45Updated 10 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated 2 years ago
• trungngv / gprn
  Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'
  ☆22Updated 11 years ago
• RGLab / scamp
  Implementation of Selective Clustering Annotated using Modes of Projections
  ☆11Updated 5 years ago