M

machine-learning

Finally a smart RSS reader which doesn't suck ass or your data.

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.

Built a complete machine learning pipeline in SparkML using the Adult Census dataset (~48k rows, 14 features). Implemented data preprocessing, feature encoding, cross-validation, and model training with Logistic Regression and Random Forest. Evaluated models with metrics such as AUC and F1-score. Reflected on scalability trade-offs and optimizations in distributed ML.

Ultralytics Python Project Template

Data Science / Machine Learning Pipeline component for training and deploying ML models using CI

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

MCP Cloudflare Server

A data mining project analyzing hate crime patterns in the United States from 2017 to 2025, using clustering, predictive modeling, and association rule mining.

A data science project focused on analyzing a car market dataset from Turkey in 2020. The goal is to explore the data, apply various analytical techniques, and derive insights. The specific direction of analysis will be determined through exploration, with potential for building predictive models or visualizing trends in the market.

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Golang MCP implementation

A "Lab" neural network library for controlled research into network-based machine learning.

MCP mongodb CRUD service

MCP server on Cloudflare

MCP SSE server

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

Moodle Plugin repository for recommending courses based on machine learning predicting, and a dashboard to monitor courses and users. Made by Diva Alfiah as a thesis project.

Scope create personal portfolio site by AI

Model Context Protocol in Go.