Alexis Balayre's Projects
This project leverages the Faster R-CNN model with a ResNet-50 backbone, implemented using PyTorch Lightning, for the detection and localisation of thoracic abnormalities in chest X-ray images.
COVID-19 Data Analysis Project Using Apache Spark
Sophisticated approach to predicting turbulence dynamics by leveraging the power of Physics-Informed Neural Networks (PINNs). This project is built on the PyTorch Lightning framework, facilitating streamlined model training, evaluation, and management.
OnlineETH 2023 - Secret NFTs
This repository contains the source code for the paper First Order Motion Model for Image Animation
Foundry Template
GhoSafe is an Ethereum-based DeFi platform, offering secure, efficient lending with vaults, credit delegation, and cross-chain collateral. Integrated with Aave and Chainlink, it simplifies and elevates the DeFi experience for lenders and borrowers.
GPTAggregator is a Python-based application that provides a unified interface to interact with various large language models (LLMs) through their respective APIs. The project aims to simplify the process of working with different LLM providers.
This project allows for the monitoring of electrical and fluid consumption in a set of stations.
Cloud Computing and IoT for Environmental Monitoring Project
LadybugAI: Machine Learning for Species Classification and Spot Counting
Leetcode solutions
Multiple Linear Regression Analysis Project
Leveraging the power of HPC, OptiSpMV employs parallel computing strategies through OpenMP and CUDA, aiming to significantly enhance computational efficiency across different sparse matrix formats: CSR and ELLPACK.
Personal Portfolio
Personal Portfolio of Alexis Balayre
This project explores the correlation between financial news sentiment and stock prices.
ScredAIO - Sneakers Order Bot
This project explores various parallelization strategies for multiplying sparse matrices by coarse vectors, using the Message Passing Interface (MPI) framework to achieve high performance on HPC systems.