Lightning fast C++/CUDA neural network framework
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Updated
Jul 10, 2024 - C++
Lightning fast C++/CUDA neural network framework
Simple multilayer perceptron c++ implementation.
A resource-conscious neural network implementation for MCUs
Machine Learning Tool with LSTM and MLP Neural Networks, with CUDA implementation.
Neural Networks Templates Library
Vulkan Implementation of NVIDIA's paper Real-time Neural Radiance Caching for Path Tracing.
Nebula: Lightweight Neural Network Benchmarks
A PDF to text converter using a MLP-based OCR.
MultilayerPerceptron Project is a C++ implementation of a multilayer perceptron capable of classifying handwritten Latin alphabet images with 2 to 5 hidden layers. Built with the MVC pattern and Qt library, it requires C++17, CMake, Qt5 Widgets/Charts, and Google Test library. The program can be customized and features options.
This is the implementation of a simulator that classifies 2D data into two classes or multi-classes using a multi-layer perceptron (MLP). It was developed using Visual C++ and it can be used for learning and understanding Artificial Neural Network concepts.
A parallel implementation of an MLP used to recognize characters regardless of the font it is written in.
Implementação em C++ de uma rede neural perceptron de multicamadas (multilayer perceptron) treinada com SGD (Stochastic Gradient Descent)
learning to develop lightning fast C++/CUDA neural network
Lemire's testingmlp but for Windows
This project contains many topics inside. Please check the video link below for details
Include c++ code which extract MNIST handwritten digit images from binary into OpenCV mat type.
C++ Neural Network Computing Library
This repository consists of codes regarding different neural network algorithom implementation.
simple mlp written in c++
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