Lightning fast C++/CUDA neural network framework
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Updated
Apr 1, 2026 - C++
Lightning fast C++/CUDA neural network framework
A header-only neural network library for microcontrollers, with partial bare-metal & native-os support.
Simple multilayer perceptron c++ implementation.
Vulkan Implementation of NVIDIA's paper Real-time Neural Radiance Caching for Path Tracing.
Machine Learning Tool with LSTM and MLP Neural Networks, with CUDA implementation.
Neural Networks Templates Library
Nebula: Deep Neural Network Benchmarks in C++
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 PDF to text converter using a MLP-based OCR.
Implementação em C++ de uma rede neural perceptron de multicamadas (multilayer perceptron) treinada com SGD (Stochastic Gradient Descent)
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.
A parallel implementation of an MLP used to recognize characters regardless of the font it is written in.
This project contains many topics inside. Please check the video link below for details
learning to develop lightning fast C++/CUDA neural network
Include c++ code which extract MNIST handwritten digit images from binary into OpenCV mat type.
This project involves creating a framework to train Neural Networks.
Lemire's testingmlp but for Windows
C++ Neural Network Computing Library
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