Showing 1-14 of 14 projects
MLX is a machine learning array framework for Apple silicon with Python, C++, and Swift APIs.
Open-source voice synthesis studio powered by Qwen3-TTS
A flexible and powerful tensor operations library for readable and reliable deep learning code in Python.
A collection of examples demonstrating the usage of the MLX framework for building AI-powered applications.
A high-performance text-to-speech, speech-to-text, and speech-to-speech library for Apple Silicon devices.
Open-source platform for frontier AI/ML workflows, including diffusion models, LLMs, and more.
Native macOS runtime for running local/cloud AI models with MCP tool sharing and always-on workflows.
Run LLMs (Large Language Models) with the MLX (Machine Learning Exploration) framework.
Examples of using the MLX Swift library, a framework for building AI-powered applications in Swift.
A Python library for state-of-the-art generative image models, focused on AI and machine learning tools for vibe coders.
Swift API for MLX, a platform focused on enabling developers to build with AI tools.
An all-in-one LLMs chat UI for Apple Silicon Macs using the MLX framework, built with Python.
A simple and efficient Mamba implementation in pure PyTorch and MLX for AI-driven development.
This repository provides code and models for large-scale computer vision research projects using AI tools.
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