GitHub - cgnorthcutt/cnn-gpu-benchmarks: Latest (2020) CNN and GPU Benchmarks on ImageNet and CIFAR

Latest (2020) CNN and GPU Benchmarks on ImageNet and CIFAR - GitHub - cgnorthcutt/cnn-gpu-benchmarks: Latest (2020) CNN and GPU Benchmarks on ImageNet and CIFAR

MLPerf Inference 3.0 Highlights – Nvidia, Intel, Qualcomm and…ChatGPT

PyTorch, Tensorflow, and MXNet on GPU in the same environment and GPU vs CPU performance – Syllepsis

GitHub - Accumulated/Accelerating-CNN-on-GPU-using-CUDA-C: This repository is for implementing and accelerating CNN on GPU using NVIDIA CUDA C. The current code has 8 msec execution time for inference. The CNN used is called

GitHub - SamKirkiles/vgg-cifar100: A Tensorflow implementation of VGG-16 trained on CIFAR-100

Unsupervised visualization of image datasets using contrastive learning – arXiv Vanity

Benchmarking Modern GPUs for Maximum Cloud Cost Efficiency in Deep Learning

Confluence Mobile - NCSA Wiki

GitHub - cemizm/tf-benchmark-gpu: Dockerized tensorflow benchmark tool with GPU support

Benchmarking Training Time for CNN-based Detectors with Apache MXNet

Benchmarking: Which GPU for Deep Learning?

GitHub - SophieYLiu/CNN-CIFAR10: First experience in convolutional neural networks in image classification - using python, Theano/Keras

GitHub - mrgloom/Deep-Benchmark-List: Convolutional Neural Network benchmark

GPU-tracking

Running Caffe AlexNet/GoogleNet On Some CPUs Compared To NVIDIA CUDA - Phoronix