gregversteeg / NPEETLinks
Non-parametric Entropy Estimation Toolbox
☆406Updated 2 years ago
Alternatives and similar repositories for NPEET
Users that are interested in NPEET are comparing it to the libraries listed below
Sorting:
- local non-uniformity correction for mutual information estimation☆70Updated 3 years ago
- Estimators for the entropy and other information theoretic quantities of continuous distributions☆140Updated last year
- Python package for information theory.☆540Updated 3 weeks ago
- ☆153Updated 5 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆87Updated 2 years ago
- Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm☆51Updated 4 years ago
- Distance correlation and related E-statistics in Python☆149Updated 9 months ago
- A PyTorch library for two-sample tests☆239Updated 2 years ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆213Updated 3 years ago
- Time-Contrastive Learning☆65Updated 7 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- Testing methods for estimating KL-divergence from samples.☆63Updated 2 months ago
- Dirichlet MLE python library☆117Updated last year
- code for Structured Variational Autoencoders☆352Updated 6 years ago
- megaman: Manifold Learning for Millions of Points☆327Updated 2 years ago
- demonstration of the information bottleneck theory for deep learning☆62Updated 7 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆127Updated 4 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆217Updated 7 months ago
- explore DNNs via Infomration☆263Updated 5 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆184Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 years ago
- The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynami…☆264Updated last month
- Probabilistic Torch is library for deep generative models that extends PyTorch☆889Updated last year
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆226Updated last month
- Deep neural network kernel for Gaussian process☆206Updated 4 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆346Updated 6 years ago
- Convergent Cross Mapping in Scikit Learn's style☆98Updated 4 years ago