alonkipnis / BlahutArimotoLinks
Python implementation of the Blahut-Arimoto algorithm to compute the Rate-Distortion of an i.i.d distribution
☆15Updated 9 years ago
Alternatives and similar repositories for BlahutArimoto
Users that are interested in BlahutArimoto are comparing it to the libraries listed below
Sorting:
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- Approximate Message Passing in Python☆72Updated last year
- A Python implementation of Approximate Message Passing (AMP) algorithms for LASSO☆28Updated 6 years ago
- Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.☆18Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Nonlinear Information Bottleneck☆54Updated 3 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆54Updated 6 years ago
- A toolbox for inference of mixture models☆16Updated 2 years ago
- Python Compressed Sensing algorithms☆68Updated 5 years ago
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆34Updated 5 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent☆19Updated 2 years ago
- Neural model of hierarchical reinforcement learning☆16Updated 8 years ago
- Fast IRLS code for solving p-norm regression problems☆14Updated 5 years ago
- ☆12Updated 6 months ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 7 years ago
- Python wrapper library for signal processing and communications research☆18Updated 3 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 9 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆45Updated 7 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- Variational Sparse Spectrum Gaussian Process toolkit☆22Updated 10 years ago
- A PyTorch implementation of Radio Transformer Networks from the paper "An Introduction to Deep Learning for the Physical Layer".☆132Updated 8 years ago
- Randomized Tensor Decompositions☆30Updated 9 years ago
- ☆32Updated 6 years ago