YCML
This machine learning and optimization framework provides an advanced solution for Objective-C and Swift developers on MacOS and iOS. It features over 30 thoroughly tested algorithms, emphasizing regression and multi-objective optimization. With a scientific approach, it integrates high-quality implementations and offers flexible model structures for various predictive tasks, ensuring reliable performance and usability.
Top YCML Alternatives
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MILK
MILK is a versatile Python-based machine learning toolkit designed for supervised classification, featuring various classifiers such as SVMs, k-NN, and random forests. It emphasizes speed and memory efficiency, employing C++ for performance-critical code while offering a user-friendly Python interface. Additionally, it supports unsupervised learning with k-means clustering and affinity propagation.
rapaio
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yahmm
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Ganitha
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Conjecture
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JRuby Mahout
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Clojush
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Company Information
- Company: YCML
- Country: United States
Top YCML Features
- High-quality algorithm implementation
- Supports Objective-C and Swift
- Verified for MacOS and iOS
- Over 30 unit tests
- Focus on regression problems
- Handles classification problems
- Multi-objective optimization algorithms
- Non-dominated design solutions
- Flexible feed-forward network model
- Various layer types supported
- PMML and Text export formats
- Future JSON format support
- Integrated YCMatrix library
- Clean and efficient IO subsystem
- Optimized implementations based on research
- Minimalist AI prose approach
- Comprehensive documentation available
- Active community feedback incorporation
- Open-source under GPLv3
- Scalable model infrastructure.
