A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:1704.02971)
MIT License
Sequence to Sequence from Scratch Using Pytorch
Modeling Temporal Dynamics and Spatial Configurations of Actions UsingTwo-Stream Recurrent Neural...
Pipeline for training NER models using PyTorch.
TorchArc: Build PyTorch networks by specifying architectures.
Model summary in PyTorch similar to `model.summary()` in Keras
All Model summary in PyTorch similar to `model.summary()` in Keras
简单的中文文本情感分类 (MLP, CNN, RNN in PyTorch) - 2019 THU 人工智能导论作业
NumPy实现类PyTorch的动态计算图和神经网络框架(MLP, CNN, RNN, Transformer)
View model summaries in PyTorch!
Implementation of character based convolutional neural network
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Pipeline for training Language Models using PyTorch.
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Pytorch❤️ Keras 😋😋