olehxch/mlx-neural-networks
💻 Explore the art and science of neural networks through hands-on examples using Apple's MLX framework. This repository is a collection of my personal journey—capturing the lessons, experiments, and insights gained from designing, implementing, and evaluating neural networks.
This project offers practical, hands-on examples for building and evaluating neural networks using Apple's MLX framework. It takes in various datasets, such as numerical inputs or image data, and produces trained neural network models capable of performing specific tasks like digit classification. This is designed for machine learning engineers, researchers, and students who want to develop and experiment with neural networks on Apple Silicon devices.
No commits in the last 6 months.
Use this if you are a machine learning practitioner looking for concrete examples to learn or prototype neural networks on Apple Silicon.
Not ideal if you are looking for a plug-and-play solution for a business problem rather than code examples for learning and experimentation.
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Apr 06, 2025
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