A playbook for systematically maximizing the performance of deep learning models.

Deep Reinforcement Learning

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Release for Improved Denoising Diffusion Probabilistic Models

📚 Go语言圣经中文版 🇨🇳

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

A Collection of Variational Autoencoders (VAE) in PyTorch.

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

95.47% on CIFAR10 with PyTorch

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Must-read papers on graph neural networks (GNN)

A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)