wgao9 / knnieLinks
k-Nearest Neighbor Information Estimator
☆26Updated 6 years ago
Alternatives and similar repositories for knnie
Users that are interested in knnie are comparing it to the libraries listed below
Sorting:
- local non-uniformity correction for mutual information estimation☆71Updated 4 years ago
- Loss Landscapes of Regularized Linear Autoencoders☆147Updated 3 years ago
- Approximate knockoffs and model-free variable selection.☆56Updated 4 years ago
- A library for bayesian variable selection☆31Updated 11 months ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆52Updated 7 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- Convenient Interface to Inverse Ising (ConIII)☆21Updated 2 months ago
- mean-field and structured VAEs for the IBP☆23Updated 7 years ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- Optimal transport and generalizations☆66Updated 6 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Multislice PHATE for tensor embeddings☆61Updated 4 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 5 years ago
- Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm☆50Updated 4 years ago
- ☆22Updated 6 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆84Updated 5 years ago
- Unsupervised learning and generative models in python/pytorch.☆117Updated 3 years ago
- Automated dynamical systems inference☆38Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- ☆17Updated 10 years ago
- ☆53Updated 2 years ago
- Python implementation of block decomposition method for approximating algorithmic complexity☆36Updated last year
- Blang's software development kit☆25Updated last month
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆29Updated 7 years ago
- Canonical Correlation Forests☆21Updated 7 years ago
- Python implementation of mixtures of linear regressions.☆14Updated 6 years ago
- Entropy, mutual information and higher order measures from information theory, with various estimators and discretisation methods.☆67Updated 2 years ago
- An extended package for clustering similarity☆72Updated 2 months ago
- Practical tools for quantifying how well a sample approximates a target distribution☆28Updated 5 years ago