Alternatives and similar repositories for NPEET:

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

• BiuBiuBiLL / NPEET_LNC
  local non-uniformity correction for mutual information estimation
  ☆69Updated 3 years ago
• paulbrodersen / entropy_estimators
  Estimators for the entropy and other information theoretic quantities of continuous distributions
  ☆136Updated 9 months ago
• ericsuh / dirichlet
  Dirichlet MLE python library
  ☆116Updated 11 months ago
• artemyk / ibsgd
  ☆151Updated 4 years ago
• dit / dit
  Python package for information theory.
  ☆532Updated last year
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆193Updated last year
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 5 years ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆61Updated 7 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆123Updated 4 years ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆106Updated 9 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆434Updated 6 months ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 11 months ago
• hughsalimbeni / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆110Updated 3 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆86Updated 3 years ago
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆85Updated 2 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆359Updated 5 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆238Updated last year
• automl / pybnn
  Bayesian neural network package
  ☆142Updated 3 years ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆148Updated 6 months ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆217Updated last year
• artemyk / nonlinearIB
  Nonlinear Information Bottleneck
  ☆54Updated 2 years ago
• trevorcampbell / bayesian-coresets
  Automated Scalable Bayesian Inference
  ☆131Updated 3 years ago
• nhartland / KL-divergence-estimators
  Testing methods for estimating KL-divergence from samples.
  ☆62Updated 11 months ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 4 years ago
• wgao9 / knnie
  k-Nearest Neighbor Information Estimator
  ☆26Updated 6 years ago
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆207Updated 4 months ago
• nitarshan / bayes-by-backprop
  PyTorch implementation of "Weight Uncertainty in Neural Networks"
  ☆174Updated 2 years ago
• brain-research / nngp
  Deep neural network kernel for Gaussian process
  ☆203Updated 4 years ago
• pwollstadt / IDTxl
  The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynami…
  ☆257Updated 3 months ago
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆90Updated 6 years ago