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 15 public repositories matching this topic...
Metal GPU implementation of the Qwen3 transformer model on macOS with complete Apple Silicon compute shader acceleration.
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Oct 6, 2025 - C++
Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Includes MLX Core macOS app with chat, agent mode, and tool calling.
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Apr 16, 2026 - C++
💻 Implement Qwen3 transformer model on macOS using Metal GPU for accelerated, efficient performance with support for key architecture features.
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Apr 17, 2026 - C++
High-performance graph algorithms optimized for Apple's MLX framework. Features random walks, biased random walks (Node2Vec), and neighbor sampling
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Feb 11, 2026 - C++
Native audio I/O for MLX on macOS and Linux
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Mar 13, 2026 - C++
Generate Cloud Optimized GeoTIFFs accelerated on Apple Silicon (MLX)
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Apr 15, 2026 - C++
GPU-accelerated MuJoCo physics on Apple Silicon via MLX C++
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Feb 21, 2026 - C++