zwd2016

OUCML

tensorflow_poems

中文古诗自动作诗机器人，x炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

ncps

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

Adabelief-Optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

STGCN_IJCAI-18

[IJCAI'18] Spatio-Temporal Graph Convolutional Networks

n-beats

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

keras-gcn

Keras implementation of Graph Convolutional Networks

Neural-SLAM

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Gradient-Centralization

A New Optimization Technique for Deep Neural Networks

keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

ASTGCN

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

data-mining-conferences

Ranking, acceptance rate, deadline, and publication tips

STDN

Code for our Spatiotemporal Dynamic Network

AttentionConvLSTM

"Attention in Convolutional LSTM for Gesture Recognition" in NIPS 2018

ST-MetaNet

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

dlADMM

dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers

versa

Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"

Keras-IndRNN

Implementation of IndRNN in Keras

FRU

TABL

Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis

search_iclr_2019

TG-LSTM-network-for-time-series-prediction

This paper have been presented in the form of an oral presentation at the IJCNN-2019 conference. The title is "Transformation-gated LSTM: efficient capture of short-term mutation dependencies for multivariate time series prediction tasks".

multivariate-time-series-prediction

This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)

MFAE

Source code for SDM 2020 paper "What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis"

NostalgicAdam-NosAdam

Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate (IJCAI2019)

AdaHMG

AdaHMG: A first-order stochastic optimization algorithm for time series data

HSN-LSTM

neural_language_model