PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
APACHE-2.0 License
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
A PyTorch implementation of the Transformer model in "Attention is All You Need".
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series F...
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Ne...
List of papers, code and experiments using deep learning for time series forecasting
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Formulating Model-based RL Dynamics as a continuous rather then one step prediction
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of Py...
A recurrent attention module consisting of an LSTM cell which can query its own past cell states ...
Automatic architecture search and hyperparameter optimization for PyTorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...