tinymachines
56 repositories built from February 2016 to present. Hardware hacking, systems programming, and maker projects.
Commit Activity
Language Distribution
Development Phases
Nominate-AI Platform Development
The Nominate-AI platform development phase involved creating a series of repositories focused on various aspects of AI and machine learning, including automatic PDF generation, visual representation of gnomes, and optimization of camera control for ESP32 microcontrollers.
deox
PythonCommits: Add automatic PDF generation for lectures and companions; Add .env file support and default to SSH for GitHub cloning
gnomes
PythonThe gnomes repository is a Python project focused on creating a visual representation of a gnome's lifecycle and exploring their world through experimentation and analysis. Recent commits include adding tools for live observation, documentation, and research into gnomes' behavior and genetics. The project aims to visualize the lifecycle of gnomes and explore their fundamental characteristics.
collidr
UnknownCommits:
spicy
PythonStar + Spicy: Async human-in-the-loop AI with DSPy and Scout
orator
PythonUnified educational content platform - generates lectures from GitHub repos and YouTube videos
esp32
PythonThis GitHub repository develops a Python-based ESP32 microcontroller project focused on optimizing camera control and image capture. Recent commits include significant improvements to autofocus, camera UI, and image processing. The project prioritizes responsive UI elements, FFT enhancements, and improved image quality through adjustments to the FFT algorithm and camera calibration. It also includes features like adjustable sigma thresholds, batch run controls, and a refined AF system with focus and sweep capabilities. The core functionality centers around enhancing camera performance and usability through a focused set of enhancements and optimizations.
gene-pool
UnknownThe Gene-Pool repository focuses on curating and analyzing AI coding agent prompt sets. It includes updates to documentation, security advisories, and file management, reflecting ongoing efforts to improve the archive and its analysis capabilities. Recent commits highlight improvements to the repository structure and a growing collection of prompts.
Platform Development Phase
This phase saw the creation of various tools and frameworks as part of the Nominate-AI platform, including a network scanner, a machine learning framework, and a command-line search tool.
Platform Development Phase
The Nominate-AI platform was developed with a focus on improving various components and tools, including virtual desktop management, shell scripts for cluster monitoring and deployment, TypeScript projects for database usage and analytics, Python-based development workflow tools, and AI/ML systems.
Initial Platform Development
The initial platform development phase saw the creation of seven repositories focused on different aspects, including web applications, data analysis, and automation. These projects laid the groundwork for a comprehensive Nominate-AI platform.
Platform Development
The Nominate-AI platform was established with the creation of these seven repositories. The platforms were developed to provide a range of tools and systems for AI and machine learning, including deep learning frameworks, wireless networking systems, and DNS privacy infrastructure.
Platform Development Phase
The Nominate-AI platform underwent significant development, with multiple repositories created to support its various components. This phase saw the establishment of foundational frameworks and tools for AI-related projects.
Platform Development Phase
The Nominate-AI platform's initial development phase, focusing on building a variety of tools and engines for AI and ML applications. The projects included here represent the foundation of the platform, with a mix of algorithms, utilities, and infrastructure.
Platform Development Phase
The Nominate-AI platform underwent significant development, with various libraries and tools being created to support its functionality. These libraries focused on knowledge management, vector comparison, document processing, screen session management, process monitoring, and Markdown output. The platform began to take shape during this period.