M

machine-learning

Prédiction de la gravité des accidents de la route à partir des données BAAC (ONISR). Projet de data science combinant exploration, modélisation (LightGBM), API FastAPI et interface Streamlit.

The efficient alternative to Neural Networks. Implements SLRM (Segmented Linear Regression Model) for neural compression and non-linear data modeling, achieving high precision with a fraction of the parameters of a traditional ANN.

Early-stage open-source web service for discovering song lyrics and automatic translation using ML.

AI-Powered Anti-Cheat Research Tool - Train your own AI to detect suspicious gameplay patterns using Vision Transformers and audio analysis. Fully local processing, no cloud uploads. Perfect for competitive gaming research and anti-cheat development.

pt_kmeans is a high-performance, pure PyTorch K-Means implementation for CPU/GPU, featuring K-Means++ initialization, hierarchical clustering, and cluster splitting, optimized for large-scale datasets.

Ultralytics Python Project Template

[2025] European news intelligence platform with dual-layer AI sentiment analysis. Tracks media narrative shifts across 12 sources using VADER baseline + Gemini nuance, vector embeddings for semantic search, and interactive relationship mapping with real-time trend visualization.

[2025] Autonomous Claude Code plugin with pattern learning and skill auto-selection. Features 27 specialized agents across 4 collaborative groups, quality control automation, and intelligent task execution without human approval at each step.

A GUI-based Python utility engineered to remove image backgrounds using a suite of AI models. It streamlines testing by processing one image with multiple algorithms (rembg, mediapipe) and saving separate, transparent outputs for easy side-by-side comparison.

Comparison of different models and board representations to predict position advantage and to find the best next move.

API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes People Photo Background Removal API provided by API4AI.

A pure PyTorch implementation of the Local Outlier Probabilities (LoOP) algorithm for efficient anomaly detection.

Project information This is the final source code for my model deployment—a Streamlit application for the Netflix Movie Recommendation System, or we can use the Flask framework. The complete model training, exploratory data analysis (EDA), and data preprocessing are available in my GitHub repository.

GitHub: github.com/aydiegithub/

Live Demo: aydie.in/ml/netflix-recommendation

Contact: business@aydie.in 9036469492 aydie.in

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

Fast Flexible Replay Buffer Library

This project is designed to analyze text for the presence of sarcasm. It uses machine learning models to classify input text and determine whether it contains sarcasm.

The project utilizes the following technology stack:

FastAPI - for creating the API interface and handling requests Docker - for packaging the application and its dependencies into a container Machine learning models for text sarcasm classification

Classifier to assign label to particle

A Python library for Secure and Explainable Machine Learning

Documentation available @ https://secml.gitlab.io

Follow us on Twitter @ https://twitter.com/secml_py

Source code for the article "How to create a Simple Captcha Resolver". Link to my blog: https://daemn.blogspot.com/