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Pytorch Geometric Tutorials
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Attention is all you need implementation
Multi-Scale Convolutional Recurrent Encoder-Decoder
proof of concept for a transformer-based time series prediction model
Valid and adaptive prediction intervals for probabilistic time series forecasting
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
The repository contains the implementation of the basic algorithms: Linear Regression, Customized ANN, Gradient Descent, CNN for classification, NLP, RNN, and Time Series Analysis. with some of the…
time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Convolutional Transformer for time series
A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
A framework for load forecasting, where seasonal cycles are removed from the input signal. A genetic algorithm is used to parameterize various forecasting models.
data for Multistep Electric Vehicle Charging Station Occupancy Prediction using Mixed-LSTM Neural Networks
Python library with functions to compute early warning signals for regime shifts on time-series.
Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm
Python bindings to interesting matlab libraries for data analysis
Evolving Recurrent Neural Networks via the NeuroEvolution of Augmenting Topologies (NEAT) algorithm
Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network
Dynamic seq2seq in TensorFlow, step by step
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 Autoe…
Models to predict covid-19 cases in India and USA