clxdsjyx / deeplearning_assistant
For simple problem, many deep learning problem share many parts. So, all you need to implement is your own model architecture and data generator to feed your network.
☆12Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for deeplearning_assistant
- A deep learning model for Financial Signal Representation and Trading☆70Updated 6 years ago
- Ensemble of ARIMA, prophet and LSTMS RNN☆35Updated 7 years ago
- Embedding stocks to vectors based on the price history☆63Updated 8 years ago
- Implementations of FX trading with RRL☆64Updated 6 years ago
- Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history☆38Updated 7 years ago
- A project that uses Reinforcement Learning (Q-Learning) to trade stock.☆10Updated 7 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆13Updated 5 years ago
- A bot for financial signal☆63Updated 6 years ago
- In this project we try to forecast S&P 500 stocks with machine learning and time series methods☆29Updated 7 years ago
- A crypto currency live-trading backend for Huobi☆37Updated 6 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆21Updated 6 years ago
- Deep Direct Reinforcement Learning for Financial Signal Representation and Trading(http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa…☆28Updated 5 years ago
- Stock prediction project using Recurrent Neural Network and LSTM☆42Updated 7 years ago
- ☆168Updated 7 years ago
- apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPGPerforming a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆53Updated 5 years ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆34Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- 利用强化学习预测股价变化☆20Updated 7 years ago
- a python module and user interface of a user-defined Barra risk model☆11Updated 5 years ago
- Capstone Project for the Machine Learning Nanodegree. Used Deep Q Learning to create an agent that trade stocks.☆15Updated 8 years ago
- WaveNet model applied to intra-day Bitcoin exchange forcasting☆53Updated 5 years ago
- 💸 Papers and Code Implements for Quantitative-Trading☆35Updated 6 years ago
- Automated FOREX trading using recurrent reinforcement learning☆32Updated last year
- (1) LSTM-RNN stock prices (historical closing precies of S&P500) prediction using keras with tensorflow. (2) Experiments APIs on the netw…☆23Updated 7 years ago
- ☆39Updated last year
- trading by Deep Q-Network☆15Updated 8 years ago
- LSTM-based recurrent neural network which trains RNN on 30-day span of stock data, then accepts 30-day span to make prediction for the 31…☆10Updated 7 years ago