LeonardoBerti00
Hello, I'm Leonardo Berti, a PhD Fellow at Technical University of Munich in Generative Deep Learning. I am open to consultary work.
Germany, Munich
Pinned Repositories
Axial-LOB-High-Frequency-Trading-with-Axial-Attention
Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'
Data-Normalization-for-Bilinear-Structures-in-High-Frequency-Financial-Time-series-BiN-TABL
Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series
Deep-Learning-Models-for-financial-time-serie-forecasting-with-LOB-Data
Pytorch implementation of deep learning models for financial time series forecasting using LOB
DeepMarket
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 Diffusion Models'.
Multi-Horizon-Forecasting-for-Limit-Order-Books
Pytorch implementation of DeepLOB-ATT and DeepLOB-Seq2Seq from Multi Horizon Forecasting for Limit Order Books
QMR-Q-learning-based-Multi-objective-optimization-Routing-protocol
QMR implementation using DroNet
Source-Separation-of-Multi-source-Music-using-Residual-Quantizad-Variational-Autoencoder
Source Separation of Multi-source Raw Music using a Residual Quantized variational Autoencoder
TLOB
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.
TransLOB-Transformers-for-limit-order-books-
Pytorch implementation of TransLOB from Transformer for limit order books
LOBCAST
LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈
LeonardoBerti00's Repositories
LeonardoBerti00/Axial-LOB-High-Frequency-Trading-with-Axial-Attention
Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'
LeonardoBerti00/TransLOB-Transformers-for-limit-order-books-
Pytorch implementation of TransLOB from Transformer for limit order books
LeonardoBerti00/QMR-Q-learning-based-Multi-objective-optimization-Routing-protocol
QMR implementation using DroNet
LeonardoBerti00/Deep-Learning-Models-for-financial-time-serie-forecasting-with-LOB-Data
Pytorch implementation of deep learning models for financial time series forecasting using LOB
LeonardoBerti00/Multi-Horizon-Forecasting-for-Limit-Order-Books
Pytorch implementation of DeepLOB-ATT and DeepLOB-Seq2Seq from Multi Horizon Forecasting for Limit Order Books
LeonardoBerti00/Data-Normalization-for-Bilinear-Structures-in-High-Frequency-Financial-Time-series-BiN-TABL
Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series
LeonardoBerti00/TABL-Temporal-Attention-Augmented-Bilinear-Network-for-Financial-Time-Series-Data-Analysis
Pytorch implementation of TABL from Temporal Attention Augmented Bilinear Network for Financial Time Series Data Analysis
LeonardoBerti00/Source-Separation-of-Multi-source-Music-using-Residual-Quantizad-Variational-Autoencoder
Source Separation of Multi-source Raw Music using a Residual Quantized variational Autoencoder
LeonardoBerti00/Image-Classification-Project
Code for Kaggle competition "The Nature Conservancy Fisheries Monitoring"
LeonardoBerti00/Implementation-of-a-linux-command
LeonardoBerti00/Player-Valuation-Forecasting-and-Talent-Scouting