An experiemtal review on deep learning architectures for time series forecasting

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Keras Attention Layer (Luong and Bahdanau scores).

A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:1704.02971)

Temporal Pattern Attention for Multivariate Time Series Forecasting

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Dual Staged Attention Model for Time Series prediction

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Models and examples built with TensorFlow

Structured Edge Detection Toolbox