deep-learning-trader Goto Github PK

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

attentionwalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

copper_price_forecast

copper price(time series) prediction using bpnn and lstm

ctranslate2

Optimized inference engine for OpenNMT models

da-rnn

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

da-rnn-1

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

deep-time-series-prediction

DeepLearning for Time Series Prediction.

deep_learning_for_stock_prediction

Code for stock prediction using : SVR, Single pipeline and multiple pipeline Deep learning models

deepdow

Portfolio optimization with deep learning.

deeptrade

A LSTM model using Risk Estimation loss function for stock trades in market

deepvarwt-data-code

dsanet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

dual_stage_attention_rnn

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

ea-lstm

EA-LSTM: Evolutionary attention-based LSTM for time series prediction

ea-lstm-1

EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

esrnn-gpu

PyTorch GPU implementation of the ES-RNN model for time series forecasting

fx-1-minute-data

HISTDATA - Full Dataset composed of 68 FX trading pairs / Simple API to retrieve 1 Minute data Historical FX Prices (up to June 2019).

ghi-prediction

PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irraiance prediction.

gru-stock-price-prediction

A new GRU framework for stock price prediction. A new module similar to the attention mechanism and a module similar to the ResNet are added in the framework. .

hats

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

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/1806.00685

imbrium

Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.

lstm-forecasting

How to use PyTorch LSTMs for time series regression

lstnet-gluon

Time-series prediction with LSTNet in Apache MXNet Gluon

medium_notebook

Repository containing notebooks of my posts on Medium

mlcnn-multivariate-time-series

Codes for Multi-Level Construal Neural Network framework

ng-rc-paper-code

Code for the paper "Next Generation Reservoir Computing"

ntsa

Neural Time Series Analysis

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.