Stars
Train your own ChatGPT on Apple Silicon — MLX port of nanochat
AI agents running research on single-GPU nanochat training automatically
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
Worked with my friend Cary Huang to rebuild his Flash app "Scale of the Universe" in WebGL with Pixi.js
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
This repository provides an automated shell script to set up a Verilator + UVM-based workflow using the [RTL2UVM](https://github.com/rpjayaraman/RTL2UVM) framework.
verilog-meetup / non-uvm-axi-lite-verification-ip
Forked from yuri-panchul/non-uvm-axi-lite-verification-ipNon-UVM AXI-Lite Verification IP. Started as an educational examples in older Valid-Ready-Etc repo for the Digital Circuit Synthesis School
The simplest, fastest repository for training/finetuning medium-sized GPTs.
An open-source AI agent that brings the power of Gemini directly into your terminal.
The fastest way to build robust AI agents
🎮 2048 clone (React/TypeScript/Redux). No canvas.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watchOS, tvOS, and visionOS.
Large Language Model (LLM) module for the Spezi Ecosystem
🎲 Classic 2048 game [SwiftUI 3.0, iOS 15.0+, macOS 12.0+].
🌱 This project aims to automate plant health monitoring using computer vision and deep learning. It focuses on accurate disease detection and classification in plants through rigorous data preproce…