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Graham Mueller's Projects

bp-ar-hmm icon bp-ar-hmm

Straight port of Emily Fox's Beta Process Auto Regressive Hidden Markov Model package

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cnn_graph icon cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering, https://arxiv.org/abs/1606.09375

corex icon corex

CorEx or "Correlation Explanation" constructs a hierarchy of maximally informative representations of complex data.

crepe icon crepe

Text classification from character-level using convolution networks

crossspot icon crossspot

Spotting Suspicious Behavior in Multi-modal data (ICDM 2015)

cython_tutorial icon cython_tutorial

this is going to be a non-shit tutorial on how to use eigen C++ library with python to speed up nonparametric bayesian methods

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

deepcl icon deepcl

OpenCL library to train deep convolutional neural networks

deepconvlstm icon deepconvlstm

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

deeplearning4j icon deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

dfp icon dfp

Reinforcement Learning with Goals

dnc icon dnc

A TensorFlow implementation of the Differentiable Neural Computer.

fastgae icon fastgae

Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Remy, M. Moussallam and M. Vazirgiannis (2020)

gae icon gae

Implementation of Graph Auto-Encoders in TensorFlow

gnql icon gnql

GreyNoise Query Language

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