lukamatcharashvili / ml-lib Goto Github PK

This is a simple machine learning library for C++ that I wrote for my own learning purposes. It is not meant to be used in production code, but rather as a learning tool for understanding machine learning algorithms. The library is not using any external libraries. Library also supports Vector and Matrix manipulation.

Features:

• Matrix data structures and operations
• Vector data structures and operations
• Batch gradient descent
• Stochastic gradient descent
• Mini-batch gradient descent
• Data Encoding
• Loading data from CSV files
• Data splitting
• Loading and saving weights and biases to files
• Feature scaling
• Polynomial features
• Linear regression
• Logistic regression
• Locally weighted
• K-means
• K-nearest neighbors
• Visualization
• Neural network
• Utilize GPU
• Decision tree
• Support vector machine
• Random forest
• Performance measurements
• Utilize multi-threading