Pinned Loading

1. Data-Normalization-for-Bilinear-Structures-in-High-Frequency-Financial-Time-series-BiN-TABL Data-Normalization-for-Bilinear-Structures-in-High-Frequency-Financial-Time-series-BiN-TABL Public

   Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series

   Jupyter Notebook 7 4

2. Deep-Learning-Models-for-financial-time-serie-forecasting-with-LOB-Data Deep-Learning-Models-for-financial-time-serie-forecasting-with-LOB-Data Public

   Pytorch implementation of deep learning models for financial time series forecasting using LOB

   Jupyter Notebook 11 4

3. TransLOB-Transformers-for-limit-order-books- TransLOB-Transformers-for-limit-order-books- Public

   Pytorch implementation of TransLOB from Transformer for limit order books

   Jupyter Notebook 18 8

4. 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 47 17

5. 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 84 22

6. 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