zhuyiche

anomalyzer

Probabilistic anomaly detection for time series data

Applied-Statistics-STA442-homework

bayesian-forest

char-rnn

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

incremental-random-forest

mondrianforest

An online random forest implementaion written in Python.

Music_RNN_RBM

Generating longer musical pieces with an RNN-RBM in TensorFlow

StackNet

StackNet is a computational, scalable and analytical Meta modelling framework

tensorflow-fcn

An Implementation of Fully Convolutional Networks in Tensorflow.

time-series-anomaly

Anomaly detection on time series using Deep Learning techniques

VariationalRecurrentNeuralNetwork

Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

Weakly_detector

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"