xndh's repositories
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
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