swift-mlx

What problem does it solve?

MLX Swift provides a high-performance machine learning framework for Apple Silicon, enabling developers to implement, train, and deploy ML models with lazy evaluation and automatic differentiation for rapid experimentation.

Core Features & Use Cases

• NumPy-like array operations with lazy evaluation and unified memory
• Automatic differentiation and gradient-based training workflows
• Modular ML stack (MLX, MLXNN, MLXOptimizers) with support for Metal kernels
• Easy experimentation on macOS and iOS, with performance-friendly design
• Use cases include building neural networks, custom kernels, and performance-tuned ML pipelines

Quick Start

Create a minimal Swift project, import MLX, and run a simple MLXArray operation to verify the setup.