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deepgp

Deep Gaussian Processes in matlab

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

distribute_mnist

TensorFlow分布式MNIST手写字体识别实例

distributed-tensorflow-example

An example of data parallelism and async updates of parameter in tensorflow.

distributetensorflowexample

distribute tensorflow example

document-classifier-lstm

A bidirectional LSTM with attention for multiclass/multilabel text classification.

dpm

Dirichlet Process Gaussian Mixture Models

dr.sure

🏫DeepLearning学习笔记以及Tensorflow使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术，欢迎批评指正。

em-gaussian

Python code for Expectation-Maximization estimate of Gaussian mixture model

emnlp2017_doc

code for our EMNLP 2017 paper "DOC: Deep Open Classification of Text Documents"

exercise

exercise for nndl

exnn

Enhanced Explainable Neural Network

fglib

factor graph library

ggp

Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'

gmm

Gaussian Mixture Models in Python

gnnpapers

Must-read papers on graph neural networks (GNN)

gp_cholqr

code for "Efficient Optimization for Sparse Gaussian Process Regression"

gparml

Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.

gpflow-inter-domain

Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gprn-svi

Implementation for Stovhastic Variational Inference for following models :Gaussian Process Regression Netwroks (Wilson, 2011) and Sparse GPRN

gpy

Gaussian processes framework in python

graph-neural-networks

graph_nets

Build Graph Nets in Tensorflow

graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

graphnets_gcn

This is the gcn implication in graphnet.

graphnetwork

A study on graph network, especially for relation extraction.

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

icarl