Using advanced control and computer vision techniques in an easy way for embedded

Dynamic detection of likely invariants

A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms

Collection of executable benchmarks

A series of machine learning trigger bots for Counter-Strike: Global Offensive (CS:GO).

Firewall and ML-based NIDS developed for Network Security project 2023

Tensor implementation in C

A Max/MSP object encapsulating the Rapid Lib C++ library.

Introduzione alle reti neurali con esempi in linguaggio C

Deep neural network and Adam optimizer in straight C and CUDA. Accompanies the course Foundations of GPU Computing (coming soon).

Object-oriented programming is a programming paradigm based on the concept of "objects", which can contain data and code: data in the form of fields, and code, in the form of procedures. A feature of objects is that an object's own procedures can access and often modify the data fields of itself.

bnlearn — Bayesian Network Structure Learning, Parameter Learning and Inference.  http://www.bnlearn.com/

Code example for ModusToolbox that enables any PSoC 6 to run Machine Learning

A machine learning trigger bot for Quake3 Arena & Quake Live.

Facial Recognition using supervised machine learning

Different DSP and ML applications, mostly in C and a minimalistic dataflow framework based on libdill

A COVID-19 Infection Rate Detection Technique Using Bayes Probability

Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.

KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.