Alternatives and similar repositories for wattnet-fx-trading:

Users that are interested in wattnet-fx-trading are comparing it to the libraries listed below

• ritchieng / fractional_differencing_gpu
  Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-40…
  ☆56Updated 5 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆112Updated 6 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆60Updated 2 years ago
• Regressionist / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆236Updated 2 years ago
• d3sm0 / ntsa
  Neural Time Series Analysis
  ☆14Updated 2 years ago
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆111Updated last year
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆95Updated 5 years ago
• firmai / mtss-gan
  MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
  ☆93Updated 4 years ago
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 5 years ago
• LiamMaclean216 / Temporal-Fusion-Transformer
  ☆62Updated 4 years ago
• FernandoDeMeer / Mitigating-Overfitting-Experiment
  Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"
  ☆37Updated last year
• kykosic / WaveNet-BTC
  WaveNet model applied to intra-day Bitcoin exchange forcasting
  ☆54Updated 6 years ago
• litanli / wavenet-time-series-forecasting
  ☆40Updated 11 months ago
• chandlerzuo / chandlerzuo.github.io
  My blog.
  ☆78Updated 7 months ago
• rajatsen91 / deepglo
  This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…
  ☆168Updated 4 years ago
• zhoutf / finance_gan
  Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
  ☆16Updated 6 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆112Updated 8 months ago
• passalis / dain
  Deep Adaptive Input Normalization for Time Series Forecasting
  ☆129Updated 3 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 6 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆47Updated 3 years ago
• dotnet54 / TS-CHIEF
  TS-CHIEF
  ☆43Updated 5 months ago
• timothyyu / wsae-lstm
  implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
  ☆78Updated 2 years ago
• Schlam / LSTM-time-series-forecasting
  Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data
  ☆41Updated 4 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 5 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• opringle / multivariate_time_series_forecasting
  A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.
  ☆65Updated 5 years ago