Alternatives and similar repositories for AdaptiveSFM

Users that are interested in AdaptiveSFM are comparing it to the libraries listed below

• hhkunming / State-Frequency-Memory-Recurrent-Neural-Networks
  ☆46Updated 7 years ago
• z331565360 / State-Frequency-Memory-stock-prediction
  ☆133Updated 6 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆111Updated last year
• chandlerzuo / chandlerzuo.github.io
  My blog.
  ☆78Updated last year
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• iLampard / dual_stage_attention_rnn
  A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆14Updated 5 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 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
  ☆93Updated 3 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• freddiev4 / financial-ts-prediction-with-deeplearning
  (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"
  ☆16Updated 7 years ago
• forecasts-and-nn / n-beats
  N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆23Updated 6 years ago
• ashwinbhola / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 years ago
• ysn2233 / attentioned-dual-stage-stock-prediction
  By PyTorch
  ☆143Updated 6 years ago
• fomhko / stock_net
  implementation of ACL2018: Stock Movement Prediction from Tweets and Historical Prices
  ☆12Updated 6 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 6 years ago
• cingtiye / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆17Updated 5 years ago
• SirAlex900 / FeatureProgramming
  ☆40Updated 2 years ago
• shoumo95 / Stock_Prediction_Model_using_Attention_Multilayer_RNN_LSTM
  RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells
  ☆40Updated 8 years ago
• weilai0980 / IMV-LSTM
  Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series
  ☆48Updated 4 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆113Updated 6 years ago
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆100Updated 7 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆239Updated 3 years ago
• mirkosavasta / GANetano
  Generative Adversarial Network to create synthetic time series
  ☆23Updated 5 years ago
• marscrazy / MTDNN
  Multi-scale Two-way Deep Neural Network
  ☆43Updated 5 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 8 years ago
• arleigh418 / Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN
  基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
  ☆78Updated 5 years ago
• kh-kim / stock2vec
  Embedding stocks to vectors based on the price history
  ☆64Updated 9 years ago
• xiaojunxu / nsvm
  Supporting repository for ICLR 2017 paper submission.
  ☆16Updated 8 years ago
• midas-research / hyper-stockgat-www
  Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021
  ☆20Updated 4 years ago