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MLX
MLX is a NumPy-like array framework designed for efficient and flexible machine learning on Apple silicon, brought to you by Apple machine learning research.
Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
A MLX port of FLUX based on the Huggingface Diffusers implementation.
This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
🤖✨ChatMLX is a modern, open-source, high-performance chat application for MacOS based on large language models.
Solve Puzzles. Learn Metal 🤘
Implementation of F5-TTS in MLX
A text-to-speech (TTS) and Speech-to-Speech (STS) library built on Apple's MLX framework, providing efficient speech synthesis on Apple Silicon.
Codam's own fixed, functioning and open source alternative of the miniLibX. MLX42 is a simple cross-platform graphics library running on GLFW and OpenGL.
Large Language Models (LLMs) applications and tools running on Apple Silicon in real-time with Apple MLX.
A multi-platform SwiftUI frontend for running local LLMs with Apple's MLX framework.
Generate accurate transcripts using Apple's MLX framework