A collection of enhancements, plugins, and prompts for Open WebUI, developed and curated for personal use to extend functionality and improve experience.
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Updated
Jul 2, 2026 - Python
A collection of enhancements, plugins, and prompts for Open WebUI, developed and curated for personal use to extend functionality and improve experience.
Deep Learning Models implemented in python.
Solutions for Hyperskill projects
Implementation of the Gale-Shapley (also known as deferred acceptance) and Top Trading Cycle (TTC) algorithms for 2-sided matching
Algoritmo Network baseado na captura de dados feito através da lib speedtest.
An interactive chatbot designed to help users perform Exploratory Data Analysis (EDA), generate statistical insights, create visualizations, and even build basic machine learning models—all through natural language prompts. The chatbot is powered by Gemini 1.5 Flash (Google’s LLM) and built with the Python data ecosystem and Streamlit.
A high-performance machine learning pipeline built with **Python**, **Pathlib**, and **LightGBM** designed to aggregate raw text transaction logs recursively, construct deep temporal features, and perform multi-step recursive quantile time-series forecasting.
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