Pinned Repositories
BNMTF
Python implementations of bayesian non-negative matrix factorisation (BNMF) and tri-factorisation (BNMTF) algorithms, using Gibbs sampling and variational Bayesian inference. BNMF Gibbs sampler was introduced by Schmidt et al. (2009).
brushfire
Distributed decision tree ensemble learning in Scala
documents
some documents
jdk
Read-only mirror of https://hg.openjdk.java.net/jdk/jdk
machinglearning
machine learning
plsa
a probabilistic latent semantic analysis model in matlab programming
publishrepo
Publish some codes in this repositoy
pyutil
A python util package
sklearn-bayes
Relevance Vector Machine, Bayesian Linear Models, Bayesian Mixture Models, Bayesian HMM
sol
sparse online learning
lizhangzhan's Repositories
lizhangzhan/pyutil
A python util package
lizhangzhan/sklearn-bayes
Relevance Vector Machine, Bayesian Linear Models, Bayesian Mixture Models, Bayesian HMM
lizhangzhan/awesome-free-deep-learning-papers
lizhangzhan/bcc
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
lizhangzhan/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
lizhangzhan/DataflowJavaSDK
Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.
lizhangzhan/dcgan_code
Deep Convolutional Generative Adversarial Networks
lizhangzhan/deeplearning4j
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
lizhangzhan/DeepLearningBook
MIT Deep Learning Book in PDF format
lizhangzhan/dl4j-0.4-examples
Please use these examples based on deeplearning4j 0.4.* release.
lizhangzhan/GRU4Rec
GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.
lizhangzhan/IllustrationGAN
A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.
lizhangzhan/jeigen
Java wrapper for Eigen C++ fast matrix library
lizhangzhan/jest
Painless JavaScript Unit Testing.
lizhangzhan/layer-norm
Code and models from the paper "Layer Normalization"
lizhangzhan/mat-vae
A re-implementation of Auto-Encoding Variational Bayes in MATLAB
lizhangzhan/pybasicbayes
lizhangzhan/PyMC3_Oslo
Probabilistic programming in Python workshop at Oslo universitetssykehus HF
lizhangzhan/pysparnn
Approximate Nearest Neighbor Search for Sparse Data in Python!
lizhangzhan/Recipes
Lasagne recipes: examples, IPython notebooks, ...
lizhangzhan/recurrent-batch-normalization
lizhangzhan/revrand
A library of scalable Bayesian generalised linear models with fancy features
lizhangzhan/SEVDL_MGP
Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors", Christos Louizos & Max Welling, ICML 2016
lizhangzhan/sg-mcmc-survey
lizhangzhan/tair-java-client
lizhangzhan/tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
lizhangzhan/vae
Variational Autoencoder / Deep Latent Gaussian Model demo
lizhangzhan/vae_tutorial
Caffe code to accompany my Tutorial on Variational Autoencoders
lizhangzhan/Variational-Autoencoder
Implementation of a variational Auto-encoder
lizhangzhan/variational-text-tensorflow
TensorFlow implementation of Neural Variational Inference for Text Processing