Pinned Repositories
----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's Repositories
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.