gregversteeg / NPEET
Non-parametric Entropy Estimation Toolbox
☆394Updated 2 years ago
Alternatives and similar repositories for NPEET:
Users that are interested in NPEET are comparing it to the libraries listed below
- local non-uniformity correction for mutual information estimation☆69Updated 3 years ago
- Estimators for the entropy and other information theoretic quantities of continuous distributions☆136Updated 10 months ago
- Dirichlet MLE python library☆116Updated last year
- Testing methods for estimating KL-divergence from samples.☆62Updated 2 weeks ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Python package for information theory.☆532Updated last year
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- Package implementing various parametric and nonparametric methods for conditional density estimation☆194Updated 2 years ago
- Bayesian nonparametric machine learning for Python☆216Updated last year
- some tools for gaussian linear dynamical systems☆89Updated 6 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆208Updated 5 months ago
- code for Structured Variational Autoencoders☆351Updated 6 years ago
- Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm☆48Updated 4 years ago
- Deep Gaussian Processes in Python☆233Updated 3 years ago
- ☆150Updated 2 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆182Updated 6 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆123Updated 4 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 2 years ago
- ☆94Updated 6 years ago
- ☆204Updated 2 years ago
- ☆232Updated 7 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆46Updated last year
- Probabilistic Torch is library for deep generative models that extends PyTorch☆886Updated 10 months ago
- A PyTorch library for two-sample tests☆238Updated last year
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆208Updated 3 years ago
- Kernel structure discovery research code - likely to be unstable☆189Updated 9 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆334Updated 4 years ago
- Bayesian neural network package☆145Updated 3 years ago
- Convergent Cross Mapping in Scikit Learn's style☆98Updated 4 years ago