Zane

blendx

September 22, 2025 – September 23, 2025

A real-time vertex streaming system that allows you to view and monitor Blender mesh deformations in a web browser. Perfect for visualizing vertex-level changes, mesh deformations, and live sculpting sessions.

rust-mon

October 23, 2024 – October 23, 2024

This project demonstrates how to use WASI (WebAssembly System Interface) with Rust to automate system metrics collection, providing a portable and efficient way to monitor application performance across different environments such as cloud servers, local machines, and edge devices. ⚙️🌍

Rust-serve

January 2, 2024 – January 17, 2024

This is a simple web server written in Rust. It responds with "Hello, World! This is a basic web server!" to all requests.

ZanePearton

January 1, 2024 – September 1, 2025

ZanePearton — repository

Go-Serve

January 1, 2024 – January 17, 2024

This is a simple web server written in Go. It responds with "Hello, World! This is a basic web server!" to all requests.

zanepearton.github.io

November 7, 2023 – June 22, 2025

zanepearton.github.io — repository

G-Net

August 27, 2023 – August 28, 2023

G-Net is an implementation of Generative Adversarial Networks (GAN) using TensorFlow. Designed to generate images of size 32x32 with 3 channels (RGB), G-Net provides real-time training statistics through TensorBoard integration.

McDeepNet

July 19, 2023 – June 17, 2025

This project contains a Machine Learning (ML) model that is trained on 20,000 McDonald's reviews. The ML model uses Recurrent Neural Networks (RNNs) to learn patterns from the provided reviews and then, using this learning, generates a unique review of its own.

langchaingpt

July 16, 2023 – July 16, 2023

Langchaingpt is a Python library that provides functionalities of natural language processing, text embedding, document indexing, and information retrieval. It allows users to easily leverage powerful models like GPT-3 for various tasks.

StepScraper

September 12, 2022 – July 2, 2023

StepScraper is a python script that hits a provided URL in increments of 50 (configurable) up to a maximum count. The script sends a GET request to each URL constructed and prints out the response text to the console. It's particularly useful when you want to scrape data from a web service that delivers information in paginated format.