Implementation of seq2seq with attention in keras
☆115Apr 8, 2020Updated 6 years ago
Alternatives and similar repositories for stock-price-predict
Users that are interested in stock-price-predict are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Sep 6, 2017Updated 8 years ago
- A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆14Mar 9, 2020Updated 6 years ago
- ☆116Jun 25, 2018Updated 7 years ago
- Financial time series forecast using dual attention RNN☆27Jan 27, 2019Updated 7 years ago
- Stock Market Prediction Using Unsupervised Features☆52Sep 15, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers☆16Apr 5, 2018Updated 8 years ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆63Sep 3, 2018Updated 7 years ago
- Time-series prediction with LSTNet in Apache MXNet Gluon☆22Jun 5, 2018Updated 7 years ago
- ☆10Sep 18, 2021Updated 4 years ago
- soft attention mechanism with lstm neural networks☆16Feb 12, 2020Updated 6 years ago
- By PyTorch☆142May 29, 2019Updated 7 years ago
- Applying Reinforcement learning models for stock price predictions☆25Nov 2, 2018Updated 7 years ago
- A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆113Jul 4, 2024Updated last year
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆59Dec 30, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis☆42Jul 29, 2018Updated 7 years ago
- Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction☆337Mar 18, 2021Updated 5 years ago
- Time series prediction with Sequential Model and LSTM units☆119Jan 19, 2017Updated 9 years ago
- This repo is using imitating learning to optimize portfolio. The code was derived from https://github.com/vermouth1992/drl-portfolio-mana…☆11May 16, 2019Updated 7 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆11Apr 8, 2020Updated 6 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆323Aug 4, 2020Updated 5 years ago
- Automated FOREX trading using recurrent reinforcement learning☆35Dec 8, 2022Updated 3 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆116Oct 15, 2019Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- MATLAB code to produce results and figures in the paper "Stochastic Optimal Control of Pairs Trading Strategies with Absolute and Relativ…☆15Jun 1, 2018Updated 7 years ago
- Quantitative analysis with deep learning prediction and reinforcement learning transactions.☆15Aug 5, 2020Updated 5 years ago
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆12Apr 20, 2018Updated 8 years ago
- Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data f…☆147Sep 18, 2017Updated 8 years ago
- EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction☆40Feb 24, 2019Updated 7 years ago
- Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis☆36Apr 28, 2019Updated 7 years ago
- ☆14Jul 22, 2021Updated 4 years ago
- KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-PredictionPytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…☆64Oct 26, 2019Updated 6 years ago
- MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series☆18Sep 5, 2025Updated 8 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This project is focus on stock prediction,our goal is implementing one trading framework using DRL with LSTM.☆11Jun 1, 2018Updated 7 years ago
- LSTM RNN for sentiment-based stock prediction☆66Dec 8, 2017Updated 8 years ago
- Forex price movement forecast☆37Sep 15, 2021Updated 4 years ago
- tfts: Time Series Deep Learning Models in TensorFlow☆889Apr 29, 2026Updated last month
- This is a simple experiment designed to uncover which technical indicators are the most important.☆13Jan 11, 2019Updated 7 years ago
- Build DDPG models and test on stock market☆22Nov 19, 2018Updated 7 years ago
- Comparison for time series prediction using Neural-ODEs and Neural-Flows☆17Nov 11, 2022Updated 3 years ago