vseledkin / Sum-Product-NetworksLinks
Sum-Product Networks in Python
☆12Updated 11 years ago
Alternatives and similar repositories for Sum-Product-Networks
Users that are interested in Sum-Product-Networks are comparing it to the libraries listed below
Sorting:
- Sum-Product Network learning routines in python☆27Updated 10 years ago
- What My Deep Model Doesn't Know...☆116Updated 9 years ago
- A structured list of resources about Sum-Product Networks (SPNs)☆254Updated 4 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 8 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Optimizers for machine learning☆183Updated last year
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆71Updated 4 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- Bayesian Effective Connectivity☆54Updated 6 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- ☆62Updated 8 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆206Updated 9 years ago
- RNN with differentiable structure (number of neurons)☆22Updated 9 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Library for Multi-Armed Bandit Algorithms☆56Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 8 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 5 years ago
- RNNprop☆36Updated 8 years ago
- Flexible Bayesian inference using TensorFlow☆142Updated 8 years ago
- Differentiable neural computers☆27Updated 8 years ago
- Neocortex-like reinforcement learning that runs on the GPU or CPU (OpenCL)☆69Updated 9 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Implementation of the Differentiable Neural Computer in Tensorflow☆119Updated 7 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 7 years ago
- Implementation of search-convolutional neural networks (SCNNs)☆51Updated 8 years ago
- DrMAD☆107Updated 7 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago