Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

WICWIU(What I can Create is What I Understand)

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

This fork of the deep learning guide has been adapted to work with a variety of different inputs USB camera, GigEVision and RTP on the TX1 SoM. This is a a quick demonstrator and example for users of the Abaco Systems rugged Small Form Factor (SFF) TX1 boxed solutions. Please visit out website for more details.

C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).

CUDA for MNIST training/inference

Forward and backward Attention DNN operators implementationed by LibTorch, cuDNN, and Eigen.

High-performance Spiking Neural Networks Library Written From Scratch with C++ and Python Interfaces.

Qt QML based yolov5 + RGBD camera program

C++ framework for deep learning

This package is essentially a ros-wrapper of neural_cam. More features would be added in the future, geared towards mobile robot platform. Eventual goal of this package is to solve the problem of given an image, where is the obstacle with respect to the robot in a 3D space.

face detection using opencv with cuda

cuDNN C++ wrapper.

A node based deep neural network library on top of CuDNN

TensorRT implementation of the waifu2x super-resolution model for faster image and video upscaling.

Sample project demonstrating how to setup a multi-threaded linux application for real-time mask detection on input images, video playback, or streaming cameras.

Convolution 2D cuDNN C++ implement demo 二维卷积的cuDNN实现样例 2次元畳み込みのcuDNN実装例

deep learning lib using C++ and Nvidia CUDNN

Convolution 3D cuDNN C++ implement demo 三维卷积的cuDNN实现样例 3次元畳み込みのcuDNN実装例

linux下cuda/qt教程