My first ML sandbox
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Updated
Jul 18, 2024 - C++
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
My first ML sandbox
AlgoPlus is a C++17 library for complex data structures and algorithms
Lightweight, header only ML library with support for OpenMP for a variety of neural networks.
CenyML provides a machine learning library and API programmed in C that was created by César Miranda Meza. The goal of this project is to provide a highly transparent machine learning library that prioritizes obtaining maximum performance.
Library to interface Compilers and ML models for ML-Enabled Compiler Optimizations
ML methods from scikit-learn library
C++ Numpy template-based implementation
OpenFrameworks Linux / macOS wrapper for Aravis: https://wiki.gnome.org/Projects/Aravis
A uniform interface to run deep learning models from multiple frameworks
A basic neural network written in C++ that can calculate the expected output of an xor between two numbers.
Sample implementations of neural networks that solve the XOR problem from scratch in different languages
Dynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.
Short Example on using ONNXRuntime in C++ in an efficient manner.
A project for creating 2D visualization of StackOverflow tags.
Guitar plugin made with JUCE that uses neural networks to emulate a tube amplifier.
Fast, lightweight neural net for ML/AI.
Machine learning methods (MonteCarlo, TDSarsa)
Neural Network for recognition of handwritten digits.
Vintage guitar amp using neural networks.