BiuBiuBiLL / NPEET_LNCLinks
local non-uniformity correction for mutual information estimation
☆70Updated 4 years ago
Alternatives and similar repositories for NPEET_LNC
Users that are interested in NPEET_LNC are comparing it to the libraries listed below
Sorting:
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- ☆97Updated 7 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- some tools for gaussian linear dynamical systems☆89Updated 7 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- ☆40Updated 6 years ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- k-Nearest Neighbor Information Estimator☆26Updated 6 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Group elastic net implementation in PyTorch.☆45Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- ☆155Updated 6 years ago
- Variational Bayes linear and logistic regression☆34Updated 6 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- ☆16Updated 9 years ago
- My PhD Thesis☆22Updated 9 years ago
- Various estimators of the infinite dimensional exponential family model☆15Updated 8 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 7 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- mean-field and structured VAEs for the IBP☆23Updated 7 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago