machi

Detect a clogged FDM-3d-printer nozzle by training a machine learning algorithm

Brain-inspired cognitive AI architecture featuring multi-layered memory (Sensory, Semantic, Episodic) and an automated "Sleep Cycle" for knowledge consolidation.

Machine Learning From Scratch, just use Python and NumPy

NIRS-VIS is a Master Thesis Project for decoding visual stimuli from fNIRS brain data with transformers and autoencoders via Pytorch

Some university subjects from Moscow Technical University of Communications and Informatics (MTUCI) / Московского Технического Университета Связи и Информатики (МТУСИ)

Automate WhatsApp Messages With Python

Speech Emotion Recognition written in python with the model , source code, and front end

Program assignment for The Elements of Statistical Learning, T.Hastie in Matlab

in this notebook, polynomial regression is used on a dataset

Hackathon by ZS Associates

This repository contains my code while reading the awesome Machine Learning book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition". This book is awesome man. I can't describe that how happy I am now by reading this book.

Creating this lib for ML tasks, because I'm bored of copy-pasting the same functions for different projects.

After watching an interesting YouTube video about a battle between Reddit users and Wallstreet major players, using a machine learning model, I want to find how Reddit users especially the traders express themselves.

A high performance, containerized Local LLM Inference Engine build in C++. Features a custom RAG system, Agentic File I/O tools, and Docker deployment.

MemeMatch: A Large-Scale Dual-Context Multimodal Dataset and Retrieval System for Internet Memes

This repository demonstrates a modular retrieval-augmented generation (RAG) pipeline built with LangChain and evaluated using the Ragas benchmark framework. It uses Mistral AI models for both text generation and embedding creation, with a simple FAISS-based vector store over a local knowledge base.

AI-powered content-based movie recommendation system built with Python, Streamlit, Scikit-Learn, and the TMDB API.

My solution to the flight price prediction hackathon using Decision Trees and other variants of it (AdaBoosted, Bagging Regressors etc).