High-efficiency floating-point neural network inference operators for mobile, server, and Web

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

Identify the emotion of multiple speakers in an Audio Segment

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support

Implementation of convolution layer in different flavors

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

A minimalist Deep Learning framework for embedded Computer Vision

Complete, simple and cool convolutional neural network framework, built from scratch, parallel able with OpenMP and almost dependency free. Supports custom architectures.

SpMV-CNN: A set of convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product

A C implementation of common Artificial Neural Networks

An experiment to re-purpose MTCNN for other uses than facial detection

Convolutional Interactive Artificial Neural Networks by/for Astrophysicists

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

Convultion Neural Networks

CPU Optimized & IoT Capable Embedded Computer Vision & Machine Learning Library.

This repository contains the implementation of a real-time human gender detection application using an optimized Darknet Library. For accurate detection of faces closer or farther from the camera, YOLOv3 architecture is used. It was trained on a modified FDDB dataset

A framework for the creation and training of vanilla and convolutional neural nets only depending on a C compiler and standard library

neural network for C programmers