A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.

Pipeline meant to segment and classify organoids, or any other blob-like structures (star-convex polygons). Microscopy images can be easily annotated in QuPath and automatically processed afterwards to count the class distribution within each image using this pipeline (TIF files will be converted to grayscale)

OSCAR: configure and debug variational quantum algorithms efficiently

In this repository, I will share the materials related to machine learning algorithms, as I enrich my knowledge in this field.

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

A Machine Learning project on Identifying Abnormal driving behavior using Spatio-Temporal analysis

Time-series preprocessing pipeline

simulates search algorithms on grids

Projeto para previsão de séries temporais utilizando modelos de machine learning. O projeto implementa um grid search para otimização de hiperparâmetros e possibilita a utilização de três arquiteturas de rede neural: MLP, LSTM e BiLSTM. Os dados utilizados são referentes aos preços de commodities agrícolas, obtidos de fontes públicas.

Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets

Drone control algorithm: A* obstacle avoidance, grid search and image recognition (OpenCV)

Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.

A PyTorch Based Deep Learning Quick Develop Framework. One-Stop for train/predict/server/demo

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .

Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

Repository containing Code and other materials for the Research Project on Rock Type Classification

Comparaison de différentes approches d'apprentissage supervisé pour la prédiction de la consommation d'énergie et des émissions de CO2 de bâtiments de la ville de Seattle.

Independent Project - Kaggle Competition -- I worked on the Data Science London data set for the Data Science London + Scikit-learn competition.