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

Benchmarking Modern GPUs for Maximum Cloud Cost Efficiency in Deep Learning

Unsupervised visualization of image datasets using contrastive learning – arXiv Vanity

Benchmarking: Which GPU for Deep Learning?

Benchmarking Modern GPUs for Maximum Cloud Cost Efficiency in Deep Learning

Unsupervised visualization of image datasets using contrastive learning – arXiv Vanity

Among cudaEventRecord and nvtxRangePush, whose overhead is smaller? · Issue #3 · NVIDIA/NVTX · GitHub

Benchmarking: Which GPU for Deep Learning?

TensorFlow, PyTorch or MXNet? A comprehensive evaluation on NLP & CV tasks with Titan RTX

Unsupervised visualization of image datasets using contrastive learning – arXiv Vanity

GitHub - nicklashansen/neural-net-optimization: PyTorch implementations of recent optimization algorithms for deep learning.

GitHub - Nyquixt/cnn-cifar: Benchmarking CNN Models on CIFAR using PyTorch

TensorFlow, PyTorch or MXNet? A comprehensive evaluation on NLP & CV tasks with Titan RTX, by Synced, SyncedReview

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

ImageNet 128x128 Benchmark (Conditional Image Generation)

Nvidia Dominates MLPerf Inference, Qualcomm also Shines, Where's Everybody Else?