a single c++ file for learing how data flow graphs work.
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Updated
Sep 6, 2017 - C++
a single c++ file for learing how data flow graphs work.
C++ implementation of digit classification and visualization (interactive classification) using the MNIST dataset (tiny_dnn + sfml). Classification is done using a Fully Connected Neural Network (tiny-dnn)
Code as I work through `Object-Oriented Neural Networks in C++` by Joey Rogers. Code in book is outdated and not meant to run on linux, so this is my code as I update and convert to an all-libre build. Networks made are: ADALINE, Backpropagation, Bideractional Associative Memory, and Self-Organizing Neural Networks.
An Implementation of Artificial Neural Network from scratch for Robotics Range Sensor classification
Simple convolutional neural network library written from scratch
Implement vgg16 model by ARM Compute Library
An open-source and cross-language deep learning platform
A simple & scalable neural network framework
A simulation of bunnies in an ecosystem with each other competing to survive.
A c++ include for people to easily implement a nerual network to their code.
A demo of using libtorch to train and test model on MNIST dataset for classification.
Нейросеть для распознавания англоязычных букв
A Parallelized Number Plate Detection System developed for Windows using Visual Studio. It utilizes OpenCV and OpenMP to efficiently detect number plates in images and recognize characters on them. The primary goal of this system is to speed up the process of detecting and recognizing number plates in images or video frames.
Tiny C++11 GPT-2 inference implementation from scratch
Vstream - Video Analytics pipeline with Hardware based accelerations (dev - stage)
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