Pinned Repositories
annBasedNumpy
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
GPy
Gaussian processes framework in python
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.
ladder
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
MDM
MDM
MMD-Variational-Autoencoder
probability
Probabilistic reasoning and statistical analysis in TensorFlow
TensorFlow-Multi-GPUs
Samples for Multi GPUs in TensorFlow
toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
yaolezju's Repositories
yaolezju/ladder
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
yaolezju/MMD-Variational-Autoencoder
yaolezju/toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
yaolezju/VariationalRecurrentNeuralNetwork
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
yaolezju/bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
yaolezju/blog
alpha i's blog
yaolezju/bpls
Bayesian Partial Least Squares
yaolezju/CEVAE
Causal Effect Inference with Deep Latent-Variable Models
yaolezju/ConvLSTMCell-tensorflow
ConvLSTMCell for TensorFlow
yaolezju/Cortexsys
Matlab GPU Accelerated Deep Learning Toolbox
yaolezju/DataMining
My data mining code！
yaolezju/Deep-Convolutional-AutoEncoder
This is a tutorial on creating a deep convolutional autoencoder with tensorflow.
yaolezju/Distribute_MNIST
TensorFlow分布式MNIST手写字体识别实例
yaolezju/distributeTensorflowExample
distribute tensorflow example
yaolezju/em-gaussian
Python code for Expectation-Maximization estimate of Gaussian mixture model
yaolezju/GPflow-inter-domain
Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
yaolezju/GPmat
Matlab implementations of Gaussian processes and other machine learning tools.
yaolezju/label_propagation
Implementations of label propagation like algorithms
yaolezju/Learning-from-Labeled-and-Unlabeled-Data-with-Label-Propagation
Implementing the paper
yaolezju/MachineLearning_TensorFlow
TensorFlow学习
yaolezju/planetoid
Semi-supervised learning with graph embeddings
yaolezju/PRML
PRML algorithms implemented in Python
yaolezju/py-factorgraph
Factor graphs and loopy belief propagation implemented in Python
yaolezju/pyfac
Python implementation of Sum-Product for Factor Graphs
yaolezju/revrand
A library of scalable Bayesian generalised linear models with fancy features
yaolezju/sparse_gp
My MSc project in UCL
yaolezju/Technical-Analysis-And-Practice-in-TensorFlow
《TensorFlow技术解析与实战》的源码整理、补充和讨论
yaolezju/VBCCA
Variational Bayesian Canonical Correlation Analysis
yaolezju/VGPA
Variational Gaussian Process Approximation
yaolezju/write_with_LaTeX