hhkunming / State-Frequency-Memory-Recurrent-Neural-Networks

Related projects: ⓘ

• z331565360 / State-Frequency-Memory-stock-prediction
  ☆131Updated 5 years ago
• dlarsen5 / AdaptiveSFM
  Adaptive State-Frequency Memory Recurrent Neural Network
  ☆24Updated last year
• chandlerzuo / chandlerzuo.github.io
  My blog.
  ☆77Updated last month
• marscrazy / MTDNN
  Multi-scale Two-way Deep Neural Network
  ☆45Updated 3 years ago
• blockchain99 / stock-predict-by-RNN-LSTM
  Stock prediction project using Recurrent Neural Network and LSTM
  ☆42Updated 7 years ago
• omerbsezer / SparkDeepMlpGADow30
  A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parame…
  ☆65Updated 6 years ago
• ysn2233 / attentioned-dual-stage-stock-prediction
  By PyTorch
  ☆139Updated 5 years ago
• TongzheZhang / Reinforcement_Learning_for_trading
  利用强化学习预测股价变化
  ☆20Updated 7 years ago
• mlpanda / DeepLearning_Financial
  Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
  ☆89Updated 2 years ago
• trokas / neural_decomposition
  Neaural Decomposition (ND)
  ☆20Updated 6 years ago
• AshengLin / FDRNN
  Deep Direct Reinforcement Learning for Financial Signal Representation and Trading(http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa…
  ☆28Updated 5 years ago
• aceimnorstuvwxz / stockpred
  ☆37Updated this week
• Wentao-Xu / IGMTF
  The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".
  ☆30Updated 2 years ago
• Regressionist / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 5 years ago
• shoumo95 / Stock_Prediction_Model_using_Attention_Multilayer_RNN_LSTM
  RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells
  ☆39Updated 7 years ago
• nuankw / Summer-Research-2018-Part-One
  PART I DeepAR implementation based on paper: https://arxiv.org/pdf/1704.04110.pdf
  ☆11Updated 5 years ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆35Updated 7 years ago
• nithinsethu / Deep-Direct-Reinforcement-Learning-for-Financial-Signal-Representation-and-Trading
  A deep learning model for Financial Signal Representation and Trading
  ☆69Updated 5 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆115Updated 6 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆109Updated 5 years ago
• arleigh418 / Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch
  基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測
  ☆45Updated 4 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆44Updated 2 years ago
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆96Updated 5 years ago
• safrooze / LSTNet-Gluon
  Time-series prediction with LSTNet in Apache MXNet Gluon
  ☆22Updated 6 years ago
• freddiev4 / financial-ts-prediction-with-deeplearning
  (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"
  ☆16Updated 6 years ago
• nmharmon8 / StockMarketGAN
  Stock Market Prediction Using Unsupervised Features
  ☆52Updated 6 years ago
• Csun1992 / SVM-stock-return-prediction
  We predict stock price with K-means clustering and support vector machine
  ☆17Updated 5 years ago
• Yifeng-He / Deep-Learning-Time-Series-Prediction-using-LSTM-Recurrent-Neural-Networks
  This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.
  ☆94Updated 3 years ago
• SirAlex900 / FeatureProgramming
  ☆40Updated last year
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 6 years ago