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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"

dash-sample-apps

Apps hosted in the Dash Gallery

deepadots

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

deeplearning-keras-tf2-torch

詳解ディープラーニング 第2版

dropouts

PyTorch Implementations of Dropout Variants

enc-dec-ad

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

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

keras

long-short-term-memory-networks-for-anomaly-detection-in-time-series-proceedings

officeworkmanual

事務マニュアル

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pytorch-a-theoretically-grounded-application-of-dropout-in-recurrent-neural-networks

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

pytorch-seq2seq

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

titanic-with-nakazawa

uber-time-series

Bayesian time series prediction

unsupervised-videos

Unsupervised Learning of Video Representations using LSTMs

variational-lstm

PyTorch implementation of Variational LSTM and Monte Carlo dropout.