GitHub: https://github.com/skryl/mlx-ruby

MLX-Ruby is a native C++ extension that wraps the upstream MLX runtime, giving Ruby full access to the array framework, neural network layers, optimizers, and Metal GPU acceleration on Apple silicon.

What’s included: ∙Lazy arrays with dynamic graph construction ∙Function transforms: grad, value_and_grad, vmap, jvp, vjp, compile ∙Full NN module system: Conv2d, Linear, Embedding, Transformer layers, RNNs, etc. ∙Optimizers: Adam, AdamW, SGD, and more ∙A Ruby DSL for declarative model definition, training loops, and checkpointing ∙CPU and Metal GPU support

Working examples (https://github.com/skryl/mlx-ruby-examples): ∙LLaMA inference ∙Stable Diffusion ∙Whisper ∙Transformer language model ∙LoRA fine-tuning