gregversteeg / NPEETLinks
Non-parametric Entropy Estimation Toolbox
☆408Updated 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 4 years ago
- Estimators for the entropy and other information theoretic quantities of continuous distributions☆139Updated last year
- Testing methods for estimating KL-divergence from samples.☆64Updated 3 months ago
- Python package for information theory.☆541Updated last month
- some tools for gaussian linear dynamical systems☆89Updated 7 years ago
- A PyTorch library for two-sample tests☆240Updated 2 years ago
- Bayesian nonparametric machine learning for Python☆223Updated last year
- Papers for Bayesian-NN☆325Updated 6 years ago
- Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm☆51Updated 4 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆224Updated 2 years ago
- Python implementation of elastic-net regularized generalized linear models☆283Updated last year
- Implementing Bayes by Backprop☆184Updated 6 years ago
- ☆96Updated 7 years ago
- The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynami…☆267Updated 2 months ago
- Time-Contrastive Learning☆65Updated 7 years ago
- Distance correlation and related E-statistics in Python☆149Updated 9 months ago
- Convergent Cross Mapping in Scikit Learn's style☆98Updated 5 years ago
- ☆153Updated 5 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆450Updated 10 months ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 10 months ago
- Structured Inference Networks for Nonlinear State Space Models☆272Updated 7 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆171Updated last year
- k-Nearest Neighbor Information Estimator☆26Updated 6 years ago
- code for Structured Variational Autoencoders☆351Updated 6 years ago
- Deep neural network kernel for Gaussian process☆207Updated 4 years ago