Philxxw's Stars
chencodeX/RNN_Pytorch
Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel
zhangxu0307/time_series_forecasting_pytorch
time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code
emited/VariationalRecurrentNeuralNetwork
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
hjf1997/VRNN
pytorch (>=0.4 version) code of NIPS 2015 paper 'A Recurrent Latent Variable Model for Sequential Data'
Arturus/kaggle-web-traffic
1st place solution
TimyadNyda/Variational-Lstm-Autoencoder
Lstm variational auto-encoder for time series anomaly detection and features extraction
agrimgupta92/sgan
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
IPCLab/CDRF
CDRF (Call Detail Record Forecasting): A multitask learning architecture using deep learning networks for mobile traffic forecasting
zctzzy/traffic_prediction
The source code for citywide wireless traffic prediction based on deep learning (DenseNet)
chuanting/STDenseNet
Source code of Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks
hiwonjoon/tf-vqvae
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
nadavbh12/VQ-VAE
Minimalist implementation of VQ-VAE in Pytorch
SchindlerLiang/VAE-for-Anomaly-Detection
MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
hindupuravinash/the-gan-zoo
A list of all named GANs!
LiDan456/MAD-GANs
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
ZhouYuxuanYX/Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-
Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based) settings for anaomaly detection in time series data
victor-shepardson/alpha-GAN
pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv preprint arXiv:1706.04987 (2017).
jibanli/Efficient-GAN-based-method-for-cyber-intrusion
A GAN-based model focused on anomaly detection of discrete dataset
oyxhust/wgan-gp-anomaly
gan, wgan-gp, anomaly detection, unsupervised, pytorch
chen0040/keras-anomaly-detection
Anomaly detection implemented in Keras
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.