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python3

A personal project to advance my career in data science as a whole.

aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes.

Python ITSTEP Jakarta 2026

A curated version of MitoCore, updated with information from MitoMammal and Human-GEM

Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

Python ITSTEP Jakarta 2025

TheOneConf lets Python developers declare configuration variables in a single line of plain Python (name, type, default, help text) and then resolve values from CLI > env vars > config files > variable substitution > computed values > static defaults — without writing any manual parsing code.

Le programme "Apprendre Python par des exemples" ou APPDE est une initiative du cabinet Kalamar visant à enseigner le langage Python. Suivez ce parcours pour perfectionner vos compétences en Python.

Learning Python for Offensive Security teaches Python through practical security-flavoured projects: subdomain bruteforcing, Heartbleed protocol exploration, and system-level Unix exercises.

The examples use local fixtures, documentation examples, and intentionally safe targets.

A LARA python-django app for managing projects and experiments in lab automation systems and scientific laboratories.

ChemDataReader is a flexible python framework for reading and converting chemical data originating from webservers, including metadata and semantics.

A Python Django Persistent Identifier (PID) middleware to abstract from PID services, like handle, DOI, etc.

A production-oriented Machine Learning pipeline that predicts whether an active user session will result in a purchase.

Model: XGBoost Classifier optimized for class imbalance.

Performance: ROC AUC 0.936 | F1-score 0.71 (at 0.30 threshold).

Key Features: Reproducible environment (uv), modular CLI for training/inference, leakage-free preprocessing, and SHAP interpretability analysis.

Data: UCI Online Shoppers Purchasing Intention Dataset.

Tech Stack: Python, XGBoost, Scikit-learn, Pandas, SHAP.

Repository displaying the results of measurements of various Institute of Solar-Terrestrial Physics (ISTP) SB RAS instruments for the May 2024 geomagnetic storm

Repositorio que analiza problemáticas ambientales, sociales y administrativas en México, con un enfoque en el uso de datos, validación estructural y análisis geoespacial.

Praktisi Mengajar Teknik Informatika Universitas Nusa Putra 2024

This research presents a novel ensemble-based approach for detecting deepfake images using a combination of Convolutional Neural Networks (CNNs) and Vision Transformers (ViT). The system achieves 94.87% accuracy by leveraging three complementary architectures: a 12-layer CNN, a lightweight 6-layer CNN, and a hybrid CNN-ViT model. Our approach demonstrates robust performance in distinguishing between real and manipulated facial images.

Django API with actual and historical real estate data. It is accompanied by a scraper which collects the data and stores it in the SQLite database, and can be run on a daily basis