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24 search results found

Variational Text Tensorflow ⭐ 537

TensorFlow implementation of Neural Variational Inference for Text Processing

Bayesian Torch ⭐ 396

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Pyvarinf ⭐ 300

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

Good Papers ⭐ 231

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Master Thesis Bayesiancnn ⭐ 197

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Bayesian dessert for Lasagne

Deterministic Variational Inference ⭐ 85

Sample code for running deterministic variational inference to train Bayesian neural networks

Bayesbyhypernet ⭐ 55

Code for the paper Implicit Weight Uncertainty in Neural Networks

Bayesian Deep Learning Notes ⭐ 47

A list of notes on Bayesian deep learning papers

Artificial_neural_networks ⭐ 35

A collection of Methods and Models for various architectures of Artificial Neural Networks

Variational Graph Recurrent Neural Networks - PyTorch

Neural Net Matrix Factorization ⭐ 22

Exploring neural networks (and variational inference) for collaborative filtering

Variationalautoencoders ⭐ 17

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Bayesianrnn ⭐ 16

Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.

Hypocentral earthquake location using Stein-variational gradient descent and deep neural network travel-time formulations

Cifar 10 Uncertainty ⭐ 12

Neural Variational Inference ⭐ 11

Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.

A library designed to implement deep learning algorisms to climate data for weather and climate prediction.

Bayesiannn ⭐ 9

Implementing a bayesian neural network in TensorFlow

Neural Document Modeling ⭐ 9

PyTorch implementations of NVDM, GSM, NTM, NTMR

Deep_learning_onboarding ⭐ 8

List of resources for deep learning

Statistical Models With Variational Methods ⭐ 8

Bachelor Thesis - Degree in Computer science and mathematics. University of Granada.

Neural Variational Inference and Learning for Sigmoid Belief Network

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