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pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

revrand

A library of scalable Bayesian generalised linear models with fancy features

sa-vae

seq2seq

Sequence to Sequence Learning with Keras

sindyautoencoders

sparse-gp

sparse pseudo-input gaussian processes

sparse_gp

My MSc project in UCL

sparsegp

Sparse Gaussian process: VFE and SVI-GP

sparsegpr

Implementation of Standard Gaussian Process Regression(GPR) and Sparse GPR in Matlab.

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

sumproduct

Sum product algorithm - Belief propagation (message passing) for factor graphs

svcca

technical-analysis-and-practice-in-tensorflow

《TensorFlow技术解析与实战》的源码整理、补充和讨论

tensorflow

Tensorflow深度学习框架学习代码

tensorflow-101

《TensorFlow 快速入门与实战》课件与参考代码

tensorflow-convolutional-autoencoder

This is an implementation of Convolutional AutoEncoder using only TensorFlow

tensorflow-multi-gpus

Samples for Multi GPUs in TensorFlow

tensorflow-object-contour-detection

A tensorflow implementation of object-contour-detection with fully convolutional encoder decoder network

tensorflow-practice

Learning tensorflow by just one example for beginners

tensorflow-practices

TensorFlow的练习代码

tensorflowbook

tensorflow教程每个章节的源码

tf_bbb

Tensorflow Implementation of Bayes by Backprop

titsias-sparse-gps

toolbox

A Java Toolbox for Scalable Probabilistic Machine Learning

variational-ladder-autoencoder

Implementation of VLAE

variationalrecurrentautoencoder

VRAE Variational Recurrent Autoencoder

variationalrecurrentneuralnetwork

Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

vbcca

Variational Bayesian Canonical Correlation Analysis

vbmm

Variational inference for Gaussian mixture models