wenzheli/graph-nerds
Graph Nerds
Discovered public repositories for wenzheli in the GitHub catalog.
Graph Nerds
Public repository.
Public repository.
play around with neo4j and spring
An open-source graph database
Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.
Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs
I re-implemented a semi-supervised recursive autoencoder in java. I think it is a pretty nice technique. Check it out! Or fork it
Public repository.
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
RNN for Spoken Language Understanding
A little library for text analysis with RNNs.
Restricted Boltzmann Machines in Python.
Public repository.
Public repository.
Public repository.
Public repository.
Public repository.
Public repository.
Public repository.
Public repository.
Supervised Distance Metric Learning with R
Public repository.
Deep Learning Tutorial notes and code. See the wiki for more info.
The most popular front-end framework for developing responsive, mobile first projects on the web.
java deep neural networks with gpu acceleration
Implementation of some deep learning algorithms.
Deep Learning (Python, C/C++, Java, Scala)
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Public repository.
The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary.
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
Java implementation of DCMLDA model
DCMLDA topic model
Topic models for review mining
Unified Matrix Factorization Model for recommendation
Matrix factorization model for recommendation
Random Forest java implementation using Batch Learning
Dynamic Time Wrapping Algorithm for Signal Recognition.
Comparison of different multi-armd bandit algorithm, based on simulated data.
Java Implementation of Logistic Regression
Java implementation of LDA