Le - Machine Learning Framework.

Le is Machine Learning Framework designed so that programs using it will be easy to read. Library is written in pure C but in object-oriented way. Bindings to other languages are provided so Le can be used by C++, Rust and Python programs.

Le is now under heavy development. Please come back soon.

At this moment following ML models are implemented:

• Polynomial Regression.
• Support Vector Machines (SVM).
• Sequential Feed-forward Neural Network (Multiple Layer Perceptron, MLP).
• k-Nearest Neighbors Algorithm (k-NN).

Optimization algorithms supported:

• Batch Gradient Descent (BGD).
• Stochastic Gradient Descent (SGD) with momentum.
• Sequential Minimal Optimization (SMO).

Supported backends:

• NVIDIA CUDA.
• Apple Metal.

Installation

• From Source

Examples

• C Examples
• C++ Examples
• Rust Examples
• Python Examples

Tools

• Le Board;
• Le Playground;
• Le MNIST Inspect.

License

Copyright © 2017 Kyrylo Polezhaiev. All rights reserved.

Le is released under the MIT License.