This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segn...
Torch-7 FFI bindings for NVIDIA CuDNN
cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it
A CUDNN minimal deep learning training code sample using LeNet.
caffe with cudnn
DeepLab v2 support cudnn-v5
The PSPNET supported cudnn v.5 based on https://github.com/hszhao/PSPNet
Python wrappers for the NVIDIA cuDNN libraries
OpenCV installation script with CUDA and cuDNN support
CudNN training example for reccurent neural network with CuDNN in C++.
Ubuntu18.04+NVIDIA+CUDA10.0+CUDNN+Pytorch Installation
darknet + ROS2 Humble + OpenCV4 + CUDA 11(cuDNN, Jetson Orin)
Python 3.6, Tensorflow 2.6, CUDA 11.4 and cudnn in RTX 3090
PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA
Caffe installation on ubuntu-18.04 LTS, python 2.7, Cuda 10.0, Cudnn 7.6.3
Detailed Installation procedure of CUDA, cuDNN, OpenCV and PyTorch for Machine and Deep Learning Tasks
#计算机科学#A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line
#计算机科学#Set up CI in DL/ cuda/ cudnn/ TensorRT/ onnx2trt/ onnxruntime/ onnxsim/ Pytorch/ Triton-Inference-Server/ Bazel/ Tesseract/ PaddleOCR/ NVIDIA-docker/ minIO/ Supervisord on AGX or PC from scratch.