hankharry Goto Github PK

a-dual-stage-attention-based-recurrent-neural-network-for-time-series-prediction

act-tensorflow

Adaptive Computation Time algorithm in Tensorflow

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

da-rnn

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

darnn

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

dual_stage_attention_rnn

A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

firsttest

Test for sourcetree

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

lstm-gan-

The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-softplus-normalization-uncertainty-estimation-bayesian-cnn

PyTorch code for Paper "Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference"

rnnexp

spatio-temporal-paper-list

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

srnn-pytorch

Structural RNN using PyTorch

time-attention

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

tpa-lstm

Temporal Pattern Attention for Multivariate Time Series Forecasting

tutorials