shuncask's repositories
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
BayesianLSTM
Bayesian LSTM Implementation in PyTorch
BayesianRNN
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
anomalydetector
SR-CNN
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
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)
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.
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.