MAChineLearning
MAChineLearning offers a streamlined framework for experimenting with machine learning on macOS, focusing on neural networks and natural language processing. Written in Objective-C, it supports Swift and includes robust training implementations. Users can easily set up networks, manage data buffers, and utilize advanced features like Bag of Words and Word Vectors, enhancing their model's predictive capabilities directly on their devices.
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Top MAChineLearning Features
- Native Mac integration
- Full training implementation
- Objective-C and Swift compatible
- Accelerated performance via vDSP
- Simple network setup
- Batch training support
- Automatic weight storage
- State machine for network control
- Bag of Words toolkit
- Progressive dictionary building
- Language detection utility
- Pre-configured sentiment analysis
- Tokenization options customization
- Word Vectors support
- Nearest word search functionality
- Unit tests provided
- Error tracking and reporting
- Multi-platform compatibility
- User feedback incorporation.
