machinelearning

Guitar plugin made with JUCE that uses neural networks to emulate a tube amplifier.

A uniform interface to run deep learning models from multiple frameworks

AlgoPlus is a C++17 library with implemented data structures and algorithms for various topics(including machine learning)

Vintage guitar amp using neural networks.

Adaptive Real-Time Object Detection System with HOG and CNN Features

Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.

My first ML sandbox

Library to interface Compilers and ML models for ML-Enabled Compiler Optimizations

This repository is to share the EdgeAI Lab with Microcontrollers Series material to the entire community. We will share documents, presentations and source code of two demo applications.

Dynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.

Latte is a convolutional neural network (CNN) inference engine written in C++ and uses AVX to vectorize operations. The engine runs on Windows 10, Linux and macOS Sierra.

AROW++ An implementation of the efficient confidence-weighted classifier

Sleep state prediction in embedded systems based on sensor data.

C++ Numpy template-based implementation

PSTensor provides a way to hack the memory management of tensors in TensorFlow and PyTorch by defining your own C++ Tensor Class.

Lightweight, header only ML library with support for OpenMP for a variety of neural networks.

A finite element implementation of a viscoelastic viscoplastic constitutive model using the deal.ii library with the option to include a pretrained Deep-Learning model

CNN architectures in C++

Project for the lecture "Building Interactive Devices" (HCI2) at HPI Potsdam

ML methods from scikit-learn library