alonkipnis / BlahutArimoto
Python implementation of the Blahut-Arimoto algorithm to compute the Rate-Distortion of an i.i.d distribution
☆15Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for BlahutArimoto
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆45Updated last year
- Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent☆16Updated last year
- A Python implementation of Approximate Message Passing (AMP) algorithms for LASSO☆25Updated 5 years ago
- Dynamic channel allocation in cellular networks by reinforcement learning☆16Updated 2 years ago
- A Deep Learning Based Viterbi Algorithm for Symbol Detection☆23Updated 5 years ago
- Approximate Message Passing in Python☆66Updated 4 months ago
- Python Q learning implementations and application examples in wireless networks☆18Updated 7 years ago
- Tools for examining the causal structure of artificial neural networks with information theory☆21Updated 4 years ago
- Simulate Evidence Accumulation Models in Python☆23Updated 3 years ago
- MATLAB implementation of my Bayesian Optimization algorithms☆11Updated 6 years ago
- Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".☆27Updated last year
- EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning☆40Updated 2 years ago
- Neural model of hierarchical reinforcement learning☆16Updated 7 years ago
- Code for Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding☆11Updated last year
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆20Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆10Updated last year
- Reinforcement Learning Algorithms☆8Updated 7 years ago
- Unofficial Experiments with AlgebraNets☆17Updated 4 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- deep learning for wireless interference identification☆10Updated 5 years ago
- Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)☆11Updated 3 years ago
- ☆22Updated 3 years ago
- python scripts for plotting various neural network architectures☆12Updated 8 years ago
- ☆13Updated last year
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆31Updated 4 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018