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:
- Black box variational inference for state space models☆2Updated 9 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- some tools for gaussian linear dynamical systems☆89Updated 7 years ago
- ☆96Updated 7 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Collapsed Variational Bayes☆71Updated 5 years ago
- k-Nearest Neighbor Information Estimator☆26Updated 6 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- ☆40Updated 6 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 6 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 5 years ago
- ☆16Updated 9 years ago
- Randomized Dimension Reduction Library☆115Updated 4 years ago
- Non-parametric Entropy Estimation Toolbox☆410Updated 2 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆39Updated 3 years ago
- Group elastic net implementation in PyTorch.☆45Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Proximal optimization in pure python☆118Updated 3 years ago
- Variational Bayes linear and logistic regression☆34Updated 6 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- mean-field and structured VAEs for the IBP☆23Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆226Updated 2 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago