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1. DeepMarket DeepMarket Public

   DeepMarket is a framework for performing Limit Order Book simulation with Deep Learning. This is also the official repository for the paper 'TRADES: Generating Realistic Market Simulations with Dif…

   Python 13 2

2. TLOB TLOB Public

   This is the official repository for the paper TLOB: A Novel Transformer Model with Dual Attention for Stock Price Trend Prediction with Limit Order Book Data.

   Python 22 5

3. matteoprata/LOBCAST matteoprata/LOBCAST Public

   LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈

   Python 95 25

4. Source-Separation-of-Multi-source-Music-using-Residual-Quantizad-Variational-Autoencoder Source-Separation-of-Multi-source-Music-using-Residual-Quantizad-Variational-Autoencoder Public

   Source Separation of Multi-source Raw Music using a Residual Quantized variational Autoencoder

   Python 5

5. Axial-LOB-High-Frequency-Trading-with-Axial-Attention Axial-LOB-High-Frequency-Trading-with-Axial-Attention Public

   Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'

   Jupyter Notebook 52 20

6. Multi-Horizon-Forecasting-for-Limit-Order-Books Multi-Horizon-Forecasting-for-Limit-Order-Books Public

   Pytorch implementation of DeepLOB-ATT and DeepLOB-Seq2Seq from Multi Horizon Forecasting for Limit Order Books

   Jupyter Notebook 11 2