gregversteeg / NPEET
Non-parametric Entropy Estimation Toolbox
☆375Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for NPEET
- local non-uniformity correction for mutual information estimation☆69Updated 3 years ago
- Estimators for the entropy and other information theoretic quantities of continuous distributions☆132Updated 5 months ago
- ☆145Updated 4 years ago
- code for Structured Variational Autoencoders☆349Updated 6 years ago
- Dirichlet MLE python library☆113Updated 7 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆422Updated 2 months ago
- Testing methods for estimating KL-divergence from samples.☆62Updated 7 months ago
- k-Nearest Neighbor Information Estimator☆25Updated 5 years ago
- Structured Inference Networks for Nonlinear State Space Models☆265Updated 7 years ago
- Bayesian nonparametric machine learning for Python☆211Updated last year
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆147Updated 5 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆187Updated last year
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆201Updated 2 years ago
- ☆229Updated 7 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆247Updated 3 months ago
- Deep neural network kernel for Gaussian process☆198Updated 4 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆81Updated 4 years ago
- Python package for information theory.☆513Updated 8 months ago
- megaman: Manifold Learning for Millions of Points☆321Updated last year
- some tools for gaussian linear dynamical systems☆84Updated 6 years ago
- A PyTorch library for two-sample tests☆237Updated last year
- Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm☆47Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆109Updated 2 years ago
- ☆90Updated 6 years ago
- Scikit-learn compatible estimation of general graphical models☆242Updated 7 months ago
- Time-Contrastive Learning☆64Updated 6 years ago
- Kernel structure discovery research code - likely to be unstable☆188Updated 9 years ago
- ☆145Updated 2 years ago