MatMLlab

c-rnn-gan

Implementation of C-RNN-GAN.

CSGN_model_for_review

This is a DL model for spectrum prediction.

GAN_Time_Series

A model to generate time series data with the purpose of augmenting a dataset of various time series.

HiddenMarkovModel_TensorFlow

TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

model_test

ORGAN

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

RGAN

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

SEN_model

Spectral_Normalization-Tensorflow

Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)

MatMLlab/SEN_model

MatMLlab/HiddenMarkovModel_TensorFlow

TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)

MatMLlab/improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

MatMLlab/ORGAN

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

MatMLlab/Spectral_Normalization-Tensorflow

Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)

MatMLlab/c-rnn-gan

Implementation of C-RNN-GAN.

MatMLlab/CSGN_model_for_review

This is a DL model for spectrum prediction.

MatMLlab/GAN_Time_Series

A model to generate time series data with the purpose of augmenting a dataset of various time series.

MatMLlab/model_test

MatMLlab/RGAN

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

MatMLlab/the-gan-zoo

A list of all named GANs!

MatMLlab/timeseries_gan

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

MatMLlab/TimeSeriesAnalysisWithPython