machine-learning-tools

A modular Python tool that loads messy CSV/Excel files, cleans them automatically, generates analytical statistics, and produces a polished PDF report. Includes a CLI interface, advanced cleaning engine, and portfolio-grade architecture.

Smart text chunker for LLM preprocessing (sections → paragraphs → sentences → hard splits).

A fast PyQt‑based image annotation tool with customizable hotkeys, per‑folder labels, CSV export, and “next untagged” navigation — ideal for prepping ML training datasets.

A lightweight, developer-friendly ML experiment tracking library that automatically records model runs, parameters, metrics, training time, and dataset information using local storage. It provides a CLI and web-based dashboard for organizing, analyzing, and managing experiments without requiring external tracking services or cloud infrastructure.

A desktop app for drawing bounding boxes on images, labeling them, and exporting data for object detection or classification workflows. Built with PyQt5 and Pillow.

A lightweight Chrome extension bringing 100% local, cell-level version control and git-like diffs to Google Colab.