”variational-inference“ 的搜索结果

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

TensorFlow implementation of Neural Variational Inference for Text Processing

Scalable Topic Modeling using Variational Inference in MapReduce

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

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

Deep Gaussian Processes with Doubly Stochastic Variational Inference

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan

Variational Inference in Gaussian Mixture Model

Implementation of variational Bayes inference algorithms

Variational inference for Gaussian mixture models

Matlab Code for Variational Gaussian Copula Inference

This implements variational inference for the correlated topic model.

Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference

PITS: Variational Pitch Inference for End-to-end Pitch-controllable TTS without External Pitch Predictor

Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015

Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.