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.
Here are 306 public repositories matching this topic...
Language:All
Sort:Most stars
A MLX port of FLUX based on the Huggingface Diffusers implementation.
- Updated
Mar 16, 2025 - Python
This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.
- Updated
Nov 22, 2024 - Python
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
- Updated
Mar 12, 2025 - Python
🤖✨ChatMLX is a modern, open-source, high-performance chat application for MacOS based on large language models.
- Updated
Mar 12, 2025 - Swift
Implementation of F5-TTS in MLX
- Updated
Feb 2, 2025 - Python
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.
- Updated
Feb 26, 2025 - C
Generate accurate transcripts using Apple's MLX framework
- Updated
Dec 10, 2024 - Python
MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveraging the power of local ML inference.
- Updated
Mar 16, 2025 - Python
Phi-3.5 for Mac: Locally-run Vision and Language Models for Apple Silicon
- Updated
Sep 7, 2024 - Jupyter Notebook