Teck Meng's Projects
Maid is a cross-platform Flutter app for interfacing with GGUF / llama.cpp models locally, and with Ollama and OpenAI models remotely.
Markdown Cheatsheet for Github Readme.md
šA simple and elegant markdown editor, available for Linux, macOS and Windows.
Code for ACL 2020 paper: "Extractive Summarization as Text Matching"
A React Material UI template to create rich applications with wizards, charts and ranges
MUI Core is a collection of React UI libraries for shipping new features faster. Start with Material UI, our fully-loaded component library, or bring your own design system to our production-ready components.
Material Design Web Components
A framework for modding and instrumenting games.
Cross-platform, customizable ML solutions for live and streaming media.
MERN exercise tracker - code for tutorial
Meshtastic Web Client
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
Core Python libraries ported to MicroPython
A lightweight MicroPython GUI library for display drivers based on framebuf, allows input via pushbuttons. See also micropython-touch.
A 'resilient' asynchronous MQTT driver. Recovers from WiFi and broker outages.
A lightweight MicroPython GUI library for display drivers based on framebuf class
Assorted code ideas, unofficial MP FAQ, plus index to my other repositories.
MicroPython driver for SSD1327 128x128 4-bit greyscale OLED displays
In-Database Machine Learning
Minimum breakpad crash reports collecting server
An open-source implementation of the AlphaGoZero algorithm
minimal-fastapi-postgres-template based on official template but rewritten
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Software Architecture for ML engineers
Reference code base for ML Engineering, Manning Publications
Stable Diffusion with Core ML on Apple Silicon
The code from the Machine Learning Bookcamp book and a free course based on the book
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications