cumtb-cjt

Deep-Learning-Based-State-Estimation

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

PowerPredictionFull

Predict the production, resource allocation and scheduling with LSTM + Kalman filter

Time-series-prediction

Basic RNN, LSTM, GRU, and Attention for time-series prediction

DualAttentionSeq2Seq

Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers

ResLGCN

ResNet_LSTM_GCN

LSTM-GCN_COVID-19

Indonesia's COVID-19 daily new cases prediction using LSTM-GCN method.

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

TimeSeriesForecasting-DeepLearning

An experiemtal review on deep learning architectures for time series forecasting

OED

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles

DSANet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

CNN_BiLSTM_withAttention

Transformer_Time_Series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

time-series

Time-Series models for multivariate and multistep forecasting, regression, and classification

PlotNeuralNet

Latex code for making neural networks diagrams

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

optuna

A hyperparameter optimization framework

Modern-Time-Series-Forecasting-with-Python

Modern Time Series Forecasting with Python, published by Packt

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 BER

gluonts

Probabilistic time series modeling in Python

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Multivariate-multi-step-time-series-forecasting-via-LSTM

多元多步时间序列的LSTM模型预测——基于Keras

load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

LSTM-Load-Forecasting

Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.

time_series_forecasting

TransformerTest

LSTM

基于LSTM的时间序列预测研究

Transformer-Time-Series-Forecasting

Multivariate-multi-step-time-series-forecasting-via-LSTM

多元多步时间序列的LSTM模型预测——基于Keras