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 last year
- A Python implementation of Approximate Message Passing (AMP) algorithms for LASSO☆26Updated 6 years ago
- Approximate Message Passing in Python☆71Updated 11 months ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- python scripts for plotting various neural network architectures☆12Updated 9 years ago
- Python Q learning implementations and application examples in wireless networks☆18Updated 8 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- Code for Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding☆12Updated last year
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆50Updated 3 years ago
- Hyper Graph Network Decoders for Block Codes☆22Updated 5 years ago
- Dynamic channel allocation in cellular networks by reinforcement learning☆17Updated 3 years ago
- Unofficial Experiments with AlgebraNets☆17Updated 4 years ago
- Lossless compression using Probabilistic Circuits☆16Updated 3 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- ☆22Updated 3 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Tools for examining the causal structure of artificial neural networks with information theory☆21Updated 4 years ago
- ☆12Updated 4 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 6 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- A Deep Learning Based Viterbi Algorithm for Symbol Detection☆25Updated 5 years ago
- Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" publis…☆18Updated 6 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- Python Compressed Sensing algorithms☆67Updated 4 years ago
- codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"☆49Updated 2 years ago
- A Tutorial on Deep Reinforcement Learning in PyTorch☆32Updated last year
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- ☆21Updated 2 years ago