pytorch-tutorials

#计算机科学#A resource for learning about Machine learning & Deep Learning

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

#计算机科学#A Variational Autoencoder (VAE) implemented in PyTorch

#计算机科学#A short tutorial on performing fine tuning or transfer learning in PyTorch.

#计算机科学#Pytorch implementation of contractive autoencoder on MNIST dataset

#大语言模型#Using PyTorch autograd to compute Hessian of Perplexity for Large Language Models

Enhanced Super-Resolution Generative Adversarial Networks

#计算机科学#Instructions on how to use PyTorch on AMD GPU with Linux

PyTorch 0.3.1 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch v0.3.1 tutorials in Korean.)

RNN

learning pytorch with mnist dataset

#计算机科学#A Generative Adverserial Network for modelling any distribution.

#计算机科学#Pytorch basic tutorial for CNN

#计算机科学#My content of CS294 Deep Reinforcement Learning course, conduced by Sergey Levine from UC Berkeley.