xiongnudahan

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

MAD-GANs

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

Ng_machine_learning_done

lstm_anomaly_thesis

Anomaly detection for temporal data using LSTMs

DeepTraffic

Deep Learning models for network traffic classification

Generative-Adversarial-Network-Tutorial

Tutorial on creating your own GAN in Tensorflow

Getting-Started-with-TensorFlow

Getting Started with TensorFlow, published by Packt

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

wgan-gp-anomaly

gan, wgan-gp, anomaly detection, unsupervised, pytorch

dl-models-for-qa

Keras DL models to answer 8th grade science multiple choice questions (Kaggle AllenAI competition).

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

openLearning

open Learning

binarybook