clxdsjyx / deeplearning_assistantLinks
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 9 years ago
Alternatives and similar repositories for deeplearning_assistant
Users that are interested in deeplearning_assistant are comparing it to the libraries listed below
Sorting:
- Embedding stocks to vectors based on the price history☆64Updated 9 years ago
- ☆170Updated 8 years ago
- 💸 Papers and Code Implements for Quantitative-Trading☆37Updated 7 years ago
- Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history☆38Updated 8 years ago
- ☆93Updated 8 years ago
- Implementations of FX trading with RRL☆64Updated 7 years ago
- Stock prediction project using Recurrent Neural Network and LSTM☆44Updated 9 years ago
- A bot for financial signal☆62Updated 8 years ago
- A deep learning model for Financial Signal Representation and Trading☆76Updated 7 years ago
- A project that uses Reinforcement Learning (Q-Learning) to trade stock.☆10Updated 8 years ago
- In this project we try to forecast S&P 500 stocks with machine learning and time series methods☆29Updated 8 years ago
- Just another AI project☆92Updated 7 years ago
- A crypto currency live-trading backend for Huobi☆37Updated 7 years ago
- 📈 Stock embeddings based on PE context☆75Updated 8 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆83Updated 7 years ago
- ☆17Updated 3 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆93Updated 3 years ago
- An environment to high-frequency trading agents under reinforcement learning☆289Updated 8 years ago
- Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM☆48Updated 8 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)☆134Updated 5 years ago
- WaveNet model applied to intra-day Bitcoin exchange forcasting☆55Updated 7 years ago
- Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends o…☆81Updated 9 years ago
- predict the price trend of individual stocks using deep learning and natural language processing☆79Updated 7 years ago
- ☆116Updated 8 years ago
- (1) LSTM-RNN stock prices (historical closing precies of S&P500) prediction using keras with tensorflow. (2) Experiments APIs on the netw…☆24Updated 8 years ago
- Ensemble of ARIMA, prophet and LSTMS RNN☆35Updated 8 years ago
- Reinforcement Learning for Automated Trading☆90Updated 8 years ago