Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.

A sentiment analysis classifier for short texts in Python

Repository for the lectures taught in the course named "Natural Language Processing" at the University of Guilan, Department of Computer Engineering.

A support vector machine based topic classifier for Nepali text

(1) Train large language models to help people with automatic essay scoring. (2) Extract essay features and train new tokenizer to build tree models for score prediction.

Agent-native, self-verifying raster→SVG vectorizer + SVG→PNG (CLI + skill). Wraps VTracer/Potrace; auto-routes by image type, curve-smooths to editable SVG, self-verifies via re-rasterization. Agent-customizable flags (--detail, --solid-background, …) turn a user's plain request into the result.

To find the top 20 features for a set of documents given.

Convert raster image to SVG, create icons and icon sheets.

PNG, JPG to SVG color Converter(OpenCV): Transform your PNG and JPG images into clean, scalable vector graphics with intelligent color reduction and transparency support.

Pandas dataframe easy inspection, filtering, transformation: Get label distribution metrics, visualize multilabel columns through Chord diagram, filter label occurring less than a threshold, one-liner text/monolabel/multilabel columns vectorization, and many more to come.

Developed a resume screening system that extracts text from PDF resumes, preprocesses text using NLP techniques, compares resumes with job descriptions using TF-IDF and cosine similarity, and identifies matched and missing skills with a final combined score.

This is a Python-based spam detection system that uses machine learning to classify messages as spam or not spam (ham). The system connects to a MySQL database for training data, uses TF-IDF vectorization for text processing, and employs logistic regression for classification.

Email Spam Detector - Machine Learning Model (Dockerized) that classifies messages as spam or not spam using a trained Naive Bayes model. The model is built using scikit-learn and is packaged inside a Docker container for easy deployment and usage.

Simple Text/Image vectorizer servicer written manually

augment Upscale Pro - Image & Logo Upscaler, Enhancer and Enlarger for ComfyUI

summarize paragraph into other languages

A Python tool for converting raster images into stylized, vector-like artwork using machine learning techniques.

memprediksi kalimat positif atau negatif dan mengatur bobot tf-idf dengan model MultinomialNB

Bridging raster & vector processing workflows without compromises - a lightweight, local, and non-destructive image-processing app

Using Natural Language Processing (NLP) and pandas, numpy, scikit-learn for classification and applying logistic regression as it is a supervised model, lastly NLTK. Pickle library used for saving and running the model anywhere.