shuncask

----2020

anomalydetector

SR-CNN

anormaly_detection_LSTM

AutoSummarization

A autosummarization model.

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

BayesianLSTM

Bayesian LSTM Implementation in PyTorch

BayesianRNN

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Graph_Convolutional_LSTM

Traffic Graph Convolutional Recurrent Neural Network

shuncask/Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

shuncask/Graph_Convolutional_LSTM

Traffic Graph Convolutional Recurrent Neural Network

shuncask/BayesianLSTM

Bayesian LSTM Implementation in PyTorch

shuncask/BayesianRNN

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

shuncask/----2020

shuncask/anomalydetector

SR-CNN

shuncask/anormaly_detection_LSTM

shuncask/AutoSummarization

A autosummarization model.

shuncask/awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

shuncask/awesome-anomaly-detection

A curated list of awesome anomaly detection resources

shuncask/dash-sample-apps

Apps hosted in the Dash Gallery

shuncask/DeepADoTS

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

shuncask/deeplearning-keras-tf2-torch

詳解ディープラーニング 第2版

shuncask/Dropouts

PyTorch Implementations of Dropout Variants

shuncask/Enc-Dec-AD

Anormaly Detection With Deep Learning Encoder Decoder(https://arxiv.org/abs/1607.00148?context=cs)

shuncask/keras

shuncask/Long-short-term-memory-networks-for-anomaly-detection-in-time-series-Proceedings

shuncask/OfficeWorkManual

事務マニュアル

shuncask/pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

shuncask/Pytorch-A-Theoretically-Grounded-Application-of-Dropout-in-Recurrent-Neural-Networks

Pytorch implementation of A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

shuncask/pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

shuncask/titanic-with-Nakazawa

shuncask/uber-time-series

Bayesian time series prediction

shuncask/unsupervised-videos

Unsupervised Learning of Video Representations using LSTMs

shuncask/variational-lstm

PyTorch implementation of Variational LSTM and Monte Carlo dropout.