M

machine-learning

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

Golang MCP implementation

MCP mongodb CRUD service

MCP SSE server

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

audio transcription using OpenAI's whisper-large-v2, deployed as a containerized service

Docker build of postgresql changing the dimension limit for the cube extension, raising it to 350

Machine Learning toolbox for Humans

https://github.com/yandex/rep